Damminda Alahakoon

Orcid: 0000-0003-3291-888X

Affiliations:
  • Monash University, Melbourne, Australia


According to our database1, Damminda Alahakoon authored at least 166 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis.
J. Big Data, December, 2024

Hyperseed: Unsupervised Learning With Vector Symbolic Architectures.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings.
Sensors, 2024

Addressing the Productivity Paradox in Healthcare with Retrieval Augmented Generative AI Chatbots.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

Multi-Agent RAG Chatbot Architecture for Decision Support in Net-Zero Emission Energy Systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation.
Proceedings of the 16th International Conference on Human System Interaction, 2024

Capturing Real-Time Behavior of Post Stroke Survivors using Mobile Technologies.
Proceedings of the 16th International Conference on Human System Interaction, 2024

Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023
Habitual Physical Activity of People with or at Risk of Diabetes-Related Foot Complications.
Sensors, July, 2023

Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities.
Inf. Syst. Frontiers, February, 2023

AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling.
CoRR, 2023

Building interpretable predictive models with context-aware evolutionary learning.
Appl. Soft Comput., 2023

A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Augmenting Industrial Chatbots in Energy Systems using ChatGPT Generative AI.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

EmoZen: A Robust Word Embedding for Implicit and Explicit Expressions of Emotion.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

ChatGPT and Generative AI Guidelines for Addressing Academic Integrity and Augmenting Pre-Existing Chatbots.
Proceedings of the IEEE International Conference on Industrial Technology, 2023

2022
Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming.
IEEE Trans. Cybern., 2022

A Mental Health Chatbot with Cognitive Skills for Personalised Behavioural Activation and Remote Health Monitoring.
Sensors, 2022

A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions.
Sensors, 2022

An artificial intelligence life cycle: From conception to production.
Patterns, 2022

A voice-based real-time emotion detection technique using recurrent neural network empowered feature modelling.
Multim. Tools Appl., 2022

A social media analytics perspective for human-oriented smart city planning and management.
J. Assoc. Inf. Sci. Technol., 2022

Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare.
Future Gener. Comput. Syst., 2022

Multimodal Classification of Onion Services for Proactive Cyber Threat Intelligence Using Explainable Deep Learning.
IEEE Access, 2022

Explainable Network Pruning for Model Acceleration Based on Filter Similarity and Importance.
Proceedings of the Image and Vision Computing - 37th International Conference, 2022

Parameterization of Vector Symbolic Approach for Sequence Encoding Based Visual Place Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2022

Evaluating Complex Sparse Representation of Hypervectors for Unsupervised Machine Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

UNISOLAR: An Open Dataset of Photovoltaic Solar Energy Generation in a Large Multi-Campus University Setting.
Proceedings of the 15th International Conference on Human System Interaction, 2022

Investigating COVID-19 Vaccine Messaging in Online Social Networks using Artificial Intelligence.
Proceedings of the 15th International Conference on Human System Interaction, 2022

Evaluating the Adversarial Robustness of Text Classifiers in Hyperdimensional Computing.
Proceedings of the 15th International Conference on Human System Interaction, 2022

Personalised Physiotherapy Rehabilitation using Artificial Intelligence and Virtual Reality Gaming.
Proceedings of the 15th International Conference on Human System Interaction, 2022

Comparative Evaluation of Gradient Boosting with Active Thresholding and Model Explainability for Peak Demand Forecasting.
Proceedings of the 15th International Conference on Human System Interaction, 2022

A BERT-based Idiom Detection Model.
Proceedings of the 15th International Conference on Human System Interaction, 2022

Cooee: An Artificial Intelligence Chatbot for Complex Energy Environments.
Proceedings of the 15th International Conference on Human System Interaction, 2022

Fairness Aware Swarm-based Machine Learning for Data Streams.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Understanding Citizens' Emotional Pulse in a Smart City Using Artificial Intelligence.
IEEE Trans. Ind. Informatics, 2021

People-Centric Evolutionary System for Dynamic Production Scheduling.
IEEE Trans. Cybern., 2021

Unsupervised skill transfer learning for autonomous robots using distributed Growing Self Organizing Maps.
Robotics Auton. Syst., 2021

Real-time automated video highlight generation with dual-stream hierarchical growing self-organizing maps.
J. Real Time Image Process., 2021

Value co-creation for open innovation: An evidence-based study of the data driven paradigm of social media using machine learning.
Int. J. Inf. Manag. Data Insights, 2021

A self structuring artificial intelligence framework for deep emotions modeling and analysis on the social web.
Future Gener. Comput. Syst., 2021

Continuous detection of concept drift in industrial cyber-physical systems using closed loop incremental machine learning.
Discov. Artif. Intell., 2021

An Artificial Intelligence Framework for Bidding Optimization with Uncertainty in Multiple Frequency Reserve Markets.
CoRR, 2021

Minority Resampling Boosted Unsupervised Learning With Hyperdimensional Computing for Threat Detection at the Edge of Internet of Things.
IEEE Access, 2021

Advancing an Artificial Intelligence Ethics Framework for Operator 4.0 in Sustainable Factory Automation.
Proceedings of the Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future, 2021

Learning Rule Optimization and Comparative Evaluation of Accelerated Self-Organizing Maps for Industrial Applications.
Proceedings of the IECON 2021, 2021

2020
Spatiotemporal Anomaly Detection Using Deep Learning for Real-Time Video Surveillance.
IEEE Trans. Ind. Informatics, 2020

Hierarchical Two-Stream Growing Self-Organizing Maps With Transience for Human Activity Recognition.
IEEE Trans. Ind. Informatics, 2020

Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making.
Neural Comput. Appl., 2020

Recurrent Self-Structuring Machine Learning for Video Processing using Multi-Stream Hierarchical Growing Self-Organizing Maps.
Multim. Tools Appl., 2020

Generating Situational Awareness of Pedestrian and Vehicular Movement in Urban Areas Using IoT Data Streams.
IEEE Internet Things J., 2020

Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers.
IEEE Access, 2020

GSIC: A New Interpretable System for Knowledge Exploration and Classification.
IEEE Access, 2020

Automated Detection of Social Roles in Online Communities using Deep Learning.
Proceedings of the ICSIM '20: The 3rd International Conference on Software Engineering and Information Management, 2020

A Deep Learning Approach for Work Related Stress Detection from Audio Streams in Cyber Physical Environments.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

Dynamic Self-Organising Swarm for Unsupervised Prototype Generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Discovering the influence of sarcasm in social media responses.
WIREs Data Mining Knowl. Discov., 2019

Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management.
IEEE Trans. Intell. Transp. Syst., 2019

Unsupervised Machine Learning Based Scalable Fusion for Active Perception.
IEEE Trans Autom. Sci. Eng., 2019

A data integration platform for patient-centered e-healthcare and clinical decision support.
Future Gener. Comput. Syst., 2019

Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs.
CoRR, 2019

A hybrid differential evolution algorithm with column generation for resource constrained job scheduling.
Comput. Oper. Res., 2019

Trajectory clustering of road traffic in urban environments using incremental machine learning in combination with hyperdimensional computing.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

HT-GSOM: Dynamic Self-organizing Map with Transience for Human Activity Recognition.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

A Cognitive Model for Emotion Awareness in Industrial Chatbots.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Integer Self-Organizing Maps for Digital Hardware.
Proceedings of the International Joint Conference on Neural Networks, 2019

Distributed Representation of n-gram Statistics for Boosting Self-organizing Maps with Hyperdimensional Computing.
Proceedings of the Perspectives of System Informatics, 2019

2018
Text Mining for Personalized Knowledge Extraction From Online Support Groups.
J. Assoc. Inf. Sci. Technol., 2018

Self-evolving intelligent algorithms for facilitating data interoperability in IoT environments.
Future Gener. Comput. Syst., 2018

Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics.
CoRR, 2018

Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier].
IEEE Comput. Intell. Mag., 2018

An Extended Cognitive Situation Model for Capturing Subjective Dynamics of Events from Social Media.
Australas. J. Inf. Syst., 2018

Preface to the Special Section on Recent Advances in Social Media.
Australas. J. Inf. Syst., 2018

Intelligent Detection of Driver Behavior Changes for Effective Coordination Between Autonomous and Human Driven Vehicles.
Proceedings of the IECON 2018, 2018

Bio-Inspired Multisensory Fusion for Autonomous Robots.
Proceedings of the IECON 2018, 2018

Genetic programming approach to learning multi-pass heuristics for resource constrained job scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Automatic event detection in microblogs using incremental machine learning.
J. Assoc. Inf. Sci. Technol., 2017

Towards Next Generation Rubrics: An Automated Assignment Feedback System.
Australas. J. Inf. Syst., 2017

A multi-agent simulation framework for distributed generation with battery storage.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Incremental knowledge acquisition and self-learning for autonomous video surveillance.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

A cognitive data stream mining technique for context-aware IoT systems.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Apache spark based distributed self-organizing map algorithm for sensor data analysis.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016
Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey.
IEEE Trans. Ind. Informatics, 2016

Using semantic relatedness measures with dynamic self-organizing maps for improved text clustering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A data fusion technique for smart home energy management and analysis.
Proceedings of the IECON 2016, 2016

2015
Business Analytics Editorial.
Australas. J. Inf. Syst., 2015

Improving the Decision Value of Hierarchical Text Clustering Using Term Overlap Detection.
Australas. J. Inf. Syst., 2015

Heterogeneous data fusion with multiple kernel growing self organizing maps.
Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Improving Bridge Deterioration Modelling Using Rainfall Data from the Bureau of Meteorology.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

2014
Building Multi-modal Crime Profiles with Growing Self Organising Maps.
Proceedings of the Computational Intelligence in Digital Forensics: Forensic Investigation and Applications, 2014

Extending dynamic SOMs to capture incremental changes in data.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Novel Architecture for Capturing Discrete Sequences Using Self-organizing Maps.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Improving Quantization Quality in Brain-Inspired Self-organization for Non-stationary Data Spaces.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
A scalable and dynamic self-organizing map for clustering large volumes of text data.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Brain-inspired self-organizing model for incremental learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

The adaptive suffix tree: A space efficient sequence learning algorithm.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

An enhancing dynamic self-organizing map for data clustering.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

2012
Investigating Individual Decision Making Patterns in Games Using Growing Self Organizing Maps.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

A sequence based dynamic SOM model for text clustering.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Sequence learning using the adaptive suffix trie algorithm.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Redundancy reduction in self-organising map merging for scalable data clustering.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Understanding Individual Play Sequences Using Growing Self Organizing Maps.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
A Data Mining Framework for Electricity Consumption Analysis From Meter Data.
IEEE Trans. Ind. Informatics, 2011

Clusters driven implementation of a brain inspired model for multi-view pattern identifications.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Fast Growing Self Organizing Map for Text Clustering.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Scalable Data Clustering: A Sammon's Projection Based Technique for Merging GSOMs.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

A Dynamic Unsupervised Laterally Connected Neural Network Architecture for Integrative Pattern Discovery.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Identifying multi-view patterns with hierarchy and granularity based multimodal (HGM) cogntive model.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

Analysing Stillbirth Data Using Dynamic Self Organizing Maps.
Proceedings of the 2011 Database and Expert Systems Applications, 2011

GSOM sequence: An unsupervised dynamic approach for knowledge discovery in temporal data.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Self-Organizing Maps for Translating Health Care Knowledge: A Case Study in Diabetes Management.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Cluster identification and separation in the growing self-organizing map: application in protein sequence classification.
Neural Comput. Appl., 2010

Incremental knowledge acquisition and self learning from text.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Growing Self-Organizing Map for Online Continuous Clustering.
Proceedings of the Foundations of Computational Intelligence, 2009

Extensions to Knowledge Acquisition and Effect of Multimodal Representation in Unsupervised Learning.
Proceedings of the Foundations of Computational Intelligence, 2009

2008
Categorization of Disaster Decision Support Needs for the Development of an Integrated Model for Dmdss.
Int. J. Inf. Technol. Decis. Mak., 2008

A modular subroutine selection process in disaster management based on a needs classification scheme.
Int. J. Internet Enterp. Manag., 2008

Mining Multi-modal Crime Patterns at Different Levels of Granularity Using Hierarchical Clustering.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2007
A novel Episodic Associative Memory model for enhanced classification accuracy.
Pattern Recognit. Lett., 2007

Improving the adaptability in automated vessel scheduling in container ports using intelligent software agents.
Eur. J. Oper. Res., 2007

Exploring the Clinical Notes of Pathology Ordering by Australian General Practitioners: a text mining perspective.
Proceedings of the 40th Hawaii International International Conference on Systems Science (HICSS-40 2007), 2007

2006
An extended agent model embedded with "intelligent-deliberation" for improved performances in a container terminal application.
Web Intell. Agent Syst., 2006

Intelligent Agents with Reinforcement Learning and Fuzzy logic for Intention commitment Modeling.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Clustering Massive High Dimensional Data with Dynamic Feature Maps.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Batch implementation of Growing Self-Organizing Map.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

2005
Monitoring Shift and Movement in Data using Dynamic Feature Maps.
Proceedings of the Classification and Clustering for Knowledge Discovery, 2005

Dynamic self organizing maps for discovery and sharing of knowledge in multi agent systems.
Web Intell. Agent Syst., 2005

HDGSOMr: A High Dimensional Growing Self-Organizing Map Using Randomness for Efficient Web and Text Mining.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Representation of Procedural Knowledge of an Intelligent Agent Using a Novel Cognitive Memory Model.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Shared Learning Vector Quantization in a New Agent Architecture for Intelligent Deliberation.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Exploratory data mining lead by text mining using a novel high dimensional clustering algorithm.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Handling Multiple Events in Hybrid BDI Agents with Reinforcement Learning: A Container Application.
Proceedings of the ICEIS 2005, 2005

Computation of Meta-Learning Classifiers in Distributed Data Mining using a Novel Cognitive Memory Model.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

An Extended BDI Agent Architecture with Multiple Intention Reconsideration Ability in a Vessel Berthing Application.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

Background Knowledge Driven Ontology Discovery.
Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 2005), 29 March, 2005

Building an Adaptive Hierarchy of Clusters for Text Data.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Reinforcement Learning in Neuro BDI Agents for Achieving Agent's Intentions in Vessel Berthing Applications.
Proceedings of the 19th International Conference on Advanced Information Networking and Applications (AINA 2005), 2005

2004
Minority report in fraud detection: classification of skewed data.
SIGKDD Explor., 2004

Enhancing OLAP functionality using neural networks.
Neural Parallel Sci. Comput., 2004

Building a cluster of intelligent, adaptive web sites.
Neural Comput. Appl., 2004

Special issue on 'Neural networks for enhanced intelligence'.
Neural Comput. Appl., 2004

Controlling the spread of dynamic self-organising maps.
Neural Comput. Appl., 2004

A Hybrid Intelligent Multiagent System for E-Business.
Comput. Intell., 2004

BDI Agents Using Neural Network and Adaptive Neuro Fuzzy Inference for Intelligent Planning in Container Terminals.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

BDI Agents with Fuzzy Associative Memory for Vessel Berthing in Container Ports.
Proceedings of the ICEIS 2004, 2004

Adaptive Agent Architecture Inspired by Human Behavior.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004

Hybrid BDI Agents with Improved Learning Capabilities for Adaptive Planning in a Container Terminal Application.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2004), 2004

A Novel Adaptive Decision Making Agent Architecture Inspired by Human Behavior and Brain Study Models.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

A Motivation Based Behavior in Hybrid Intelligent Agents for Intention Reconsideration Process in Vessel Berthing Applications.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

A Hybrid Decision Support System Model for Disaster Management.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

HDGSOM: A Modified Growing Self-Organizing Map for High Dimensional Data Clustering.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

Hybrid BDI Agents with ANFIS in Identifying Goal Success Factor in a Container Terminal Application.
Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), 2004

Collaborative Neuro-BDI Agents in Container Terminals.
Proceedings of the 18th International Conference on Advanced Information Networking and Applications (AINA 2004), 2004

2003
Improved Web Searching through Neural Network Based Index Generation.
Proceedings of the Computational Science - ICCS 2003, 2003

Discovery and Sharing of Knowledge with Self-Organized Agents.
Proceedings of the 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT 2003), 2003

A Hybrid Neural Network Based DBMS System for Enhanced Functionality.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Applying Dynamic Self Organizing Maps for Identifying Changes in Data Sequences.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

A-GATE: A System of Relay and Translation Gateways for Communication among Heterogeneous Agents in Ad Hoc Wireless Environments.
Proceedings of the Distributed Applications and Interoperable Systems, 2003

2002
A Modified Dynamic Self-Organizing Map Algorithm for Efficient Hardware Implementation.
Proceedings of the FSDK'02, 2002

A Framework for a Data Movement Monitoring agent using Dynamic Feature Maps.
Proceedings of the FSDK'02, 2002

2000
Dynamic self-organizing maps with controlled growth for knowledge discovery.
IEEE Trans. Neural Networks Learn. Syst., 2000

1999
A self generating neural architecture for data analysis.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
A self-growing cluster development approach to data mining.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

A Structure Adapting Feature Map for Optimal Cluster Representation.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998


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