Boris G. Mirkin

IEEE Access, 2024

2023

Piece-wise constant cluster modelling of dynamics of upwelling patterns.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., December, 2023

Core-shell clustering approach for detection and analysis of coastal upwelling.

[BibT_eX]

[DOI]

Comput. Geosci., October, 2023

Community Detection in Feature-Rich Networks Using Gradient Descent Approach.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

Community Partitioning over Feature-Rich Networks Using an Extended K-Means Method.

[BibT_eX]

[DOI]

Entropy, 2022

Community Detection in Feature-Rich Networks Using Data Recovery Approach.

[BibT_eX]

[DOI]

J. Classif., 2022

Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion.

[BibT_eX]

[DOI]

Proceedings of the Information Systems and Technologies, 2022

Novel Cluster Modeling for the Spatiotemporal Analysis of Coastal Upwelling.

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence, 2022

2021

Summable and nonsummable data-driven models for community detection in feature-rich networks.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2021

GOT: Generalization over Taxonomies, a Software Toolkit for Content Analysis with Taxonomies.

[BibT_eX]

[DOI]

Dmitry Frolov

Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Detecting Communities in Feature-Rich Networks with a K-Means Method.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

An Extension of K-Means for Least-Squares Community Detection in Feature-Rich Networks.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Community detection in feature-rich networks to meet K-means.

[BibT_eX]

[DOI]

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Parsimonious generalization of fuzzy thematic sets in taxonomies applied to the analysis of tendencies of research in data science.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Core Clustering as a Tool for Tackling Noise in Cluster Labels.

[BibT_eX]

[DOI]

J. Classif., 2020

A Hybrid Approach to Interpretable Analysis of Research Paper Collections.

[BibT_eX]

[DOI]

Proceedings of the WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30, 2020

Detection of an Unspecified Number of Communities in Feature-Rich Networks.

[BibT_eX]

[DOI]

Proceedings of MARAMI 2020 - Modèles & Analyse des Réseaux : Approches Mathématiques & Informatiques, 2020

A One-by-One Method for Community Detection in Attributed Networks.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

A Hybrid Approach to the Analysis of a Collection of Research Papers.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

A Method for Community Detection in Networks with Mixed Scale Features at Its Nodes.

[BibT_eX]

[DOI]

Proceedings of the Complex Networks & Their Applications IX, 2020

A Data Recovery Method for Community Detection in Feature-Rich Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019

Core Data Analysis: Summarization, Correlation, and Visualization, Second Edition

[BibT_eX]

[DOI]

Undergraduate Topics in Computer Science, Springer, ISBN: 978-3-030-00270-1, 2019

Distance and Consensus for Preference Relations Corresponding to Ordered Partitions.

[BibT_eX]

[DOI]

Trevor I. Fenner

J. Classif., 2019

Globally Optimal Parsimoniously Lifting a Fuzzy Query Set Over a Taxonomy Tree.

[BibT_eX]

[DOI]

Proceedings of the Optimization of Complex Systems: Theory, 2019

A Method for Audience Extending in Programmatic Advertising by Using Parsimonious Generalization of User Segments.

[BibT_eX]

[DOI]

Dmitry Frolov

Zina Taran

Proceedings of the Human Interaction and Emerging Technologies, 2019

Ordinal Equivalence Classes for Parallel Coordinates.

[BibT_eX]

[DOI]

Alexey L. Myachin

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Method for Generalization of Fuzzy Sets.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Using Taxonomy Tree to Generalize a Fuzzy Thematic Cluster.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Deriving Corporate Social Responsibility Patterns in the MSCI Data.

[BibT_eX]

[DOI]

Zina Taran

Proceedings of the Business Information Systems - 22nd International Conference, 2019

2018

Qualitative Judgement of Research Impact: Domain Taxonomy as a Fundamental Framework for Judgement of the Quality of Research.

[BibT_eX]

[DOI]

Fionn Murtagh

Michael Orlov

J. Classif., 2018

2017

The Minkowski central partition as a pointer to a suitable distance exponent and consensus partitioning.

[BibT_eX]

[DOI]

Andrei Shestakov

Pattern Recognit., 2017

Supercluster in Statics and Dynamics: An Approximate Structure Imitating a Rough Set.

[BibT_eX]

[DOI]

Ivan Rodin

Proceedings of the Rough Sets - International Joint Conference, 2017

Ideal type model and an associated method for relational fuzzy clustering.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Misha Braverman: My Mentor and My Model.

[BibT_eX]

[DOI]

Proceedings of the Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2017

Braverman's Spectrum and Matrix Diagonalization Versus iK-Means: A Unified Framework for Clustering.

[BibT_eX]

[DOI]

Proceedings of the Braverman Readings in Machine Learning. Key Ideas from Inception to Current State, 2017

2016

A-Ward<sub>pβ</sub>: Effective hierarchical clustering using the Minkowski metric and a fast k-means initialisation.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Visualization of Dynamic Reference Graphs.

[BibT_eX]

[DOI]

Proceedings of TextGraphs@NAACL-HLT 2016: the 10th Workshop on Graph-based Methods for Natural Language Processing, 2016

A Lattice-based Consensus Clustering Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications, 2016

2015

Book review "Cell formation in industrial engineering: theory, algorithms and experiments" by Boris Goldengorin, Dmitry Krushinsky, Panos M. Pardalos - Springer, 2013.

[BibT_eX]

[DOI]

Optim. Lett., 2015

Triadic Formal Concept Analysis and triclustering: searching for optimal patterns.

[BibT_eX]

[DOI]

Mach. Learn., 2015

A seed expanding cluster algorithm for deriving upwelling areas on sea surface temperature images.

[BibT_eX]

[DOI]

Sérgio Casca

Comput. Geosci., 2015

Bisecting K-Means and 1D Projection Divisive Clustering: A Unified Framework and Experimental Comparison.

[BibT_eX]

[DOI]

Ekaterina V. Kovaleva

J. Classif., 2015

2014

A Concept of Multicriteria Stratification: A Definition and Solution.

[BibT_eX]

[DOI]

Mikhail Orlov

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

A Method for Refining a Taxonomy by Using Annotated Suffix Trees and Wikipedia Resources.

[BibT_eX]

[DOI]

Ekaterina Chernyak

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Conceptual Maps: Construction Over a Text Collection and Analysis.

[BibT_eX]

[DOI]

Egor N. Morenko

Ekaterina Chernyak

Proceedings of the Analysis of Images, Social Networks and Texts, 2014

2013

Methods for Interpretation of Data in Medical Informatics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Analysis of Medical Data and Decision Support Systems, 2013

Laplacian normalization for deriving thematic fuzzy clusters with an additive spectral approach.

[BibT_eX]

[DOI]

Rui Felizardo

Expert Syst. J. Knowl. Eng., 2013

Individual Approximate Clusters: Methods, Properties, Applications.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

A Clustering-Based Approach to Reduce Feature Redundancy.

[BibT_eX]

[DOI]

Proceedings of the Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions - Selected Papers from KICSS'2013, 2013

MFWK-Means: Minkowski metric Fuzzy Weighted K-Means for high dimensional data clustering.

[BibT_eX]

[DOI]

L. Svetlova

Hansheng Lei

Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013

Least Square Consensus Clustering: Criteria, Methods, Experiments.

[BibT_eX]

[DOI]

Andrey Shestakov

Proceedings of the Advances in Information Retrieval, 2013

2012

Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 2012

Additive spectral method for fuzzy cluster analysis of similarity data including community structure and affinity matrices.

[BibT_eX]

[DOI]

Inf. Sci., 2012

Anomalous pattern based clustering of mental tasks with subject independent learning - some preliminary results.

[BibT_eX]

[DOI]

John Q. Gan

Artif. Intell. Res., 2012

2011

Core Concepts in Data Analysis: Summarization, Correlation and Visualization.

[BibT_eX]

[DOI]

Undergraduate Topics in Computer Science, Springer, ISBN: 978-0-85729-287-2, 2011

Choosing the number of clusters.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2011

Developing Additive Spectral Approach to Fuzzy Clustering.

[BibT_eX]

[DOI]

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

Approximate Bicluster and Tricluster Boxes in the Analysis of Binary Data.

[BibT_eX]

[DOI]

Andrey V. Kramarenko

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

How to Visualize a Crisp or Fuzzy Topic Set over a Taxonomy.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Machine Intelligence, 2011

Thematic Fuzzy Clusters with an Additive Spectral Approach.

[BibT_eX]

[DOI]

Rui Felizardo

Proceedings of the Progress in Artificial Intelligence, 2011

2010

Cluster-Lift Method for Mapping Research Activities over a Concept Tree.

[BibT_eX]

[DOI]

Luís Moniz Pereira

Proceedings of the Advances in Machine Learning II, 2010

Building Fuzzy Thematic Clusters and Mapping Them to Higher Ranks in a Taxonomy.

[BibT_eX]

[DOI]

Int. J. Softw. Informatics, 2010

Choosing a discernibility measure for reject-option of individual and multiple classifiers.

[BibT_eX]

[DOI]

Zacharias Voulgaris

Int. J. Gen. Syst., 2010

Intelligent Choice of the Number of Clusters in <i>K</i>-Means Clustering: An Experimental Study with Different Cluster Spreads.

[BibT_eX]

[DOI]

Mark Ming-Tso Chiang

J. Classif., 2010

Constructing and Mapping Fuzzy Thematic Clusters to Higher Ranks in a Taxonomy.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, 2010

A Hybrid Cluster-Lift Method for the Analysis of Research Activities.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

2009

Special Issue on Profiling Expertise and Behaviour.

[BibT_eX]

[DOI]

Mark Levene

Comput. J., 2009

A Class of Evolution-Based Kernels for Protein Homology Analysis: A Generalization of the PAM Model.

[BibT_eX]

[DOI]

Casimir A. Kulikowski

Proceedings of the Bioinformatics Research and Applications, 5th International Symposium, 2009

2008

Algorithms for additive clustering of rectangular data tables.

[BibT_eX]

[DOI]

Dirk Depril

Iven Van Mechelen

Comput. Stat. Data Anal., 2008

Representing a Computer Science Research Organization on the ACM Computing Classification System.

[BibT_eX]

[DOI]

Luís Moniz Pereira

Proceedings of the Supplementary Proceedings of the 16th International Conference on Conceptual Structures, 2008

2007

Experiments for the Number of Clusters in K-Means.

[BibT_eX]

[DOI]

Mark Ming-Tso Chiang

Proceedings of the Progress in Artificial Intelligence, 2007

Approximate Clusters and Biclusters (Abstract).

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Concept Lattices and Their Applications, 2007

2006

A suffix tree approach to anti-spam email filtering.

[BibT_eX]

[DOI]

Rajesh Mysore Pampapathi

Mark Levene

Mach. Learn., 2006

Nearest neighbours in least-squares data imputation algorithms with different missing patterns.

[BibT_eX]

[DOI]

Ito Wasito

Comput. Stat. Data Anal., 2006

Aggregating Homologous Protein Families in Evolutionary Reconstructions of Herpesviruses.

[BibT_eX]

[DOI]

Renata da Silva Camargo

Trevor I. Fenner

George Loizou

Paul Kellam

Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2005

Nearest neighbour approach in the least-squares data imputation algorithms.

[BibT_eX]

[DOI]

Ito Wasito

Inf. Sci., 2005

A Suffix Tree Approach to Email Filtering

[BibT_eX]

[DOI]

Rajesh Mysore Pampapathi

Mark Levene

CoRR, 2005

Clustering for data mining - a data recovery approach.

[BibT_eX]

Computer science and data analysis series, Chapman & Hall, ISBN: 978-1-58488-534-4, 2005

2003

Modeling proportional membership in fuzzy clustering.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2003

Comments on "Exact output tracking in decentralized adaptive control".

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2003

2002

Induced layered clusters, hereditary mappings, and convex geometries.

[BibT_eX]

[DOI]

Ilya B. Muchnik

Appl. Math. Lett., 2002

Layered clusters of tightness set functions.

[BibT_eX]

[DOI]

Ilya B. Muchnik

Appl. Math. Lett., 2002

2001

Reinterpreting the Category Utility Function.

[BibT_eX]

[DOI]

Mach. Learn., 2001

Proportional Membership in Fuzzy Clustering as a Model of Ideal Types.

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence, 2001

A top-down method for building genome classification trees with linear binary hierarchies.

[BibT_eX]

[DOI]

Eugene V. Koonin

Proceedings of the Bioconsensus, 2001

2000

A fuzzy clustering model of data and fuzzy c-means.

[BibT_eX]

[DOI]

Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999

Concept Learning and Feature Selection Based on Square-Error Clustering.

[BibT_eX]

[DOI]

Mach. Learn., 1999

Multiple Prototype Model for Fuzzy Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

1998

Duplication-Based Measures of Difference Between Gene and Species Trees.

[BibT_eX]

[DOI]

Oliver Eulenstein

Martin Vingron

J. Comput. Biol., 1998

Least-Squares Structuring, Clustering and Data Processing Issues.

[BibT_eX]

[DOI]

Comput. J., 1998

1996

Clustering for contingency tables: boxes and partitions.

[BibT_eX]

[DOI]

Stat. Comput., 1996

Linear embedding of binary hierarchies and its applications.

[BibT_eX]

[DOI]

Proceedings of the Mathematical Hierarchies and Biology, 1996

Comparison of annotating duplication, tree mapping, and copying as methods to compare gene trees with species trees.

[BibT_eX]

[DOI]

Oliver Eulenstein

Martin Vingron

Proceedings of the Mathematical Hierarchies and Biology, 1996

1995

A Biologically Consistent Model for Comparing Molecular Phylogenies.

[BibT_eX]

[DOI]

Ilya B. Muchnik

Temple F. Smith

J. Comput. Biol., 1995

1993

Approximation of Association Data by Structures and Clusters.

[BibT_eX]

[DOI]

Proceedings of the Quadratic Assignment and Related Problems, 1993

1982

Federations and transitive group choice.

[BibT_eX]

[DOI]

Math. Soc. Sci., 1982

1974

Group Choice and Extremal Problems in the Analysis of Qualitative Attributes.

[BibT_eX]

[DOI]