Volodymyr Melnykov

Orcid: 0000-0002-7008-4014

According to our database1, Volodymyr Melnykov authored at least 35 papers between 2011 and 2024.

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

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
On Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms.
J. Comput. Graph. Stat., 2024

2023
On Model-Based Clustering of Directional Data with Heavy Tails.
J. Classif., November, 2023

Conditional mixture modeling and model-based clustering.
Pattern Recognit., 2023

2022
MatTransMix: an R Package for Matrix Model-Based Clustering and Parsimonious Mixture Modeling.
J. Classif., 2022

2021
Model-based clustering of time-dependent categorical sequences with application to the analysis of major life event patterns.
Stat. Anal. Data Min., 2021

On finite mixture modeling and model-based clustering of directed weighted multilayer networks.
Pattern Recognit., 2021

Transformation mixture modeling for skewed data groups with heavy tails and scatter.
Comput. Stat., 2021

Personalized Data Analysis Approach for Assessing Necessary Hospital Bed-Days Built on Condition Space and Hierarchical Predictor.
Big Data Cogn. Comput., 2021

Anomalies Detecting in Medical Metrics Using Machine Learning Tools.
Proceedings of the 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2021) / The 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2021), 2021

2020
On parsimonious models for modeling matrix data.
Comput. Stat. Data Anal., 2020

A Note on the Formal Implementation of the K-means Algorithm with Hard Positive and Negative Constraints.
J. Classif., 2020

Clustering Large Datasets by Merging K-Means Solutions.
J. Classif., 2020

Gaussian mixture modeling and model-based clustering under measurement inconsistency.
Adv. Data Anal. Classif., 2020

Mixture modeling of data with multiple partial right-censoring levels.
Adv. Data Anal. Classif., 2020

The Problem of Analysing the Relationships between Individual Characteristics of Individuals with COVID'19.
Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

The Novel Approach to Modeling the Spread of Viral Infections.
Proceedings of the Advances in Intelligent Systems and Computing V, 2020

The Investigation of Artificial Intelligence Methods for Identifying States and Analyzing System Transitions Between States.
Proceedings of the IEEE 15th International Conference on Computer Sciences and Information Technologies, 2020

The Applying Processing Intelligence Methods for Classify Persons in Identify Personalized Medication Decisions.
Proceedings of the 10th International Conference on Advanced Computer Information Technologies, 2020

2019
An extension of the <i>K</i>-means algorithm to clustering skewed data.
Comput. Stat., 2019

Studying crime trends in the USA over the years 2000-2012.
Adv. Data Anal. Classif., 2019

2018
On model-based clustering of skewed matrix data.
J. Multivar. Anal., 2018

Manly transformation in finite mixture modeling.
Comput. Stat. Data Anal., 2018

The Personalized Approach to the Processing and Analysis of Patients' Medical Data.
Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), 2018

2017
ManlyMix: An R Package for Manly Mixture Modeling.
R J., 2017

2016
Studying Complexity of Model-based Clustering.
Commun. Stat. Simul. Comput., 2016

Model-based biclustering of clickstream data.
Comput. Stat. Data Anal., 2016

Finite Mixture Modeling of Gaussian Regression Time Series with Application to Dendrochronology.
J. Classif., 2016

An effective strategy for initializing the EM algorithm in finite mixture models.
Adv. Data Anal. Classif., 2016

Semi-supervised model-based clustering with positive and negative constraints.
Adv. Data Anal. Classif., 2016

2015
Probabilistic assessment of model-based clustering.
Adv. Data Anal. Classif., 2015

2013
On the distribution of posterior probabilities in finite mixture models with application in clustering.
J. Multivar. Anal., 2013

Clustering through empirical likelihood ratio.
Comput. Stat. Data Anal., 2013

2012
Efficient estimation in model-based clustering of Gaussian regression time series.
Stat. Anal. Data Min., 2012

Initializing the EM algorithm in Gaussian mixture models with an unknown number of components.
Comput. Stat. Data Anal., 2012

2011
CARP: Software for Fishing Out Good Clustering Algorithms.
J. Mach. Learn. Res., 2011


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