CARP: Software for Fishing Out Good Clustering Algorithms. - Volodymyr Melnykov; Ranjan Maitra (J. Mach. Learn. Res., 2011)

Initializing the EM algorithm in Gaussian mixture models with an unknown number of components. - Volodymyr Melnykov; Igor Melnykov (Comput. Stat. Data Anal., 2012)

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

Clustering through empirical likelihood ratio. - Volodymyr Melnykov; Gang Shen (Comput. Stat. Data Anal., 2013)

On the distribution of posterior probabilities in finite mixture models with application in clustering. - Volodymyr Melnykov (J. Multivar. Anal., 2013)

Probabilistic assessment of model-based clustering. - Xuwen Zhu; Volodymyr Melnykov (Adv. Data Anal. Classif., 2015)

Semi-supervised model-based clustering with positive and negative constraints. - Volodymyr Melnykov; Igor Melnykov; Semhar Michael (Adv. Data Anal. Classif., 2016)

An effective strategy for initializing the EM algorithm in finite mixture models. - Semhar Michael; Volodymyr Melnykov (Adv. Data Anal. Classif., 2016)

Finite Mixture Modeling of Gaussian Regression Time Series with Application to Dendrochronology. - Semhar Michael; Volodymyr Melnykov (J. Classif., 2016)

Model-based biclustering of clickstream data. - Volodymyr Melnykov (Comput. Stat. Data Anal., 2016)

Studying Complexity of Model-based Clustering. - Semhar Michael; Volodymyr Melnykov (Commun. Stat. Simul. Comput., 2016)

ManlyMix: An R Package for Manly Mixture Modeling. - Xuwen Zhu; Volodymyr Melnykov (R J., 2017)

The Personalized Approach to the Processing and Analysis of Patients' Medical Data. - Nataliia Melnykova; Volodymyr Melnykov; Edgars Vasilevskis (IDDM, 2018)

Manly transformation in finite mixture modeling. - Xuwen Zhu; Volodymyr Melnykov (Comput. Stat. Data Anal., 2018)

On model-based clustering of skewed matrix data. - Volodymyr Melnykov; Xuwen Zhu (J. Multivar. Anal., 2018)

Studying crime trends in the USA over the years 2000-2012. - Volodymyr Melnykov; Xuwen Zhu (Adv. Data Anal. Classif., 2019)

An extension of the K-means algorithm to clustering skewed data. - Volodymyr Melnykov; Xuwen Zhu (Comput. Stat., 2019)

The Applying Processing Intelligence Methods for Classify Persons in Identify Personalized Medication Decisions. - Nataliia Melnykova; Nataliya Shakhovska; Volodymyr Melnykov; Mariana Zakharchuk; Mykola Logoyda; Vitalii Mahlovanyi (ACIT, 2020)

The Investigation of Artificial Intelligence Methods for Identifying States and Analyzing System Transitions Between States. - Nataliia Melnykova; Volodymyr Melnykov; Nataliya Shahovska; Natalia Lysa (CSIT (1), 2020)

The Novel Approach to Modeling the Spread of Viral Infections. - Nataliya Shakhovska; Nataliia Melnykova; Volodymyr Melnykov; Vitaly Mahlovanyj; Nataliya Hrabovska (CSIT, 2020)

The Problem of Analysing the Relationships between Individual Characteristics of Individuals with COVID'19. - Nataliia Melnykova; Natalya Shakhovska; Volodymyr Melnykov; Mykola Logoyda; Yulia Peleshchak (IDDM, 2020)

Mixture modeling of data with multiple partial right-censoring levels. - Semhar Michael; Tatjana Miljkovic; Volodymyr Melnykov (Adv. Data Anal. Classif., 2020)

Gaussian mixture modeling and model-based clustering under measurement inconsistency. - Shuchismita Sarkar; Volodymyr Melnykov; Rong Zheng 004 (Adv. Data Anal. Classif., 2020)

Clustering Large Datasets by Merging K-Means Solutions. - Volodymyr Melnykov; Semhar Michael (J. Classif., 2020)

A Note on the Formal Implementation of the K-means Algorithm with Hard Positive and Negative Constraints. - Igor Melnykov; Volodymyr Melnykov (J. Classif., 2020)

On parsimonious models for modeling matrix data. - Shuchismita Sarkar; Xuwen Zhu; Volodymyr Melnykov; Salvatore Ingrassia (Comput. Stat. Data Anal., 2020)

Anomalies Detecting in Medical Metrics Using Machine Learning Tools. - Nataliia Melnykova; Roman Kulievych; Yaroslav Vycluk; Kateryna Melnykova; Volodymyr Melnykov (EUSPN/ICTH, 2021)

Personalized Data Analysis Approach for Assessing Necessary Hospital Bed-Days Built on Condition Space and Hierarchical Predictor. - Nataliia Melnykova; Nataliya Shakhovska; Volodymyr Melnykov; Kateryna Melnykova; Khrystyna Lishchuk-Yakymovych (Big Data Cogn. Comput., 2021)

Transformation mixture modeling for skewed data groups with heavy tails and scatter. - Yana Melnykov; Xuwen Zhu; Volodymyr Melnykov (Comput. Stat., 2021)

On finite mixture modeling and model-based clustering of directed weighted multilayer networks. - Volodymyr Melnykov; Shuchismita Sarkar; Yana Melnykov (Pattern Recognit., 2021)

Model-based clustering of time-dependent categorical sequences with application to the analysis of major life event patterns. - Yingying Zhang; Volodymyr Melnykov; Xuwen Zhu (Stat. Anal. Data Min., 2021)

MatTransMix: an R Package for Matrix Model-Based Clustering and Parsimonious Mixture Modeling. - Xuwen Zhu; Shuchismita Sarkar; Volodymyr Melnykov (J. Classif., 2022)

Conditional mixture modeling and model-based clustering. - Volodymyr Melnykov; Yang Wang (Pattern Recognit., 2023)

On Model-Based Clustering of Directional Data with Heavy Tails. - Yingying Zhang; Volodymyr Melnykov; Igor Melnykov (J. Classif., 2023)

On Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms. - Volodymyr Melnykov; Yang Wang; Yana Melnykov; Francesca Torti; Domenico Perrotta; Marco Riani (J. Comput. Graph. Stat., 2024)