Volodymyr Melnykov

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 29

Top Topics

Top Venues

Adv. Data Anal. Classif.

Comput. Stat. Data Anal.

Pattern Recognit.

Publications

Volodymyr Melnykov, Yang Wang, Yana Melnykov, Francesca Torti, Domenico Perrotta, Marco Riani
On Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms. J. Comput. Graph. Stat. 33 (1) (2024)
Yingying Zhang, Volodymyr Melnykov, Igor Melnykov
On Model-Based Clustering of Directional Data with Heavy Tails. J. Classif. 40 (3) (2023)
Volodymyr Melnykov, Yang Wang
Conditional mixture modeling and model-based clustering. Pattern Recognit. 133 (2023)
Xuwen Zhu, Shuchismita Sarkar, Volodymyr Melnykov
MatTransMix: an R Package for Matrix Model-Based Clustering and Parsimonious Mixture Modeling. J. Classif. 39 (1) (2022)
Nataliia Melnykova, Roman Kulievych, Yaroslav Vycluk, Kateryna Melnykova, Volodymyr Melnykov
Anomalies Detecting in Medical Metrics Using Machine Learning Tools. EUSPN/ICTH (2021)
Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Kateryna Melnykova, Khrystyna Lishchuk-Yakymovych
Personalized Data Analysis Approach for Assessing Necessary Hospital Bed-Days Built on Condition Space and Hierarchical Predictor. Big Data Cogn. Comput. 5 (3) (2021)
Volodymyr Melnykov, Shuchismita Sarkar, Yana Melnykov
On finite mixture modeling and model-based clustering of directed weighted multilayer networks. Pattern Recognit. 112 (2021)
Yana Melnykov, Xuwen Zhu, Volodymyr Melnykov
Transformation mixture modeling for skewed data groups with heavy tails and scatter. Comput. Stat. 36 (1) (2021)
Yingying Zhang, Volodymyr Melnykov, Xuwen Zhu
Model-based clustering of time-dependent categorical sequences with application to the analysis of major life event patterns. Stat. Anal. Data Min. 14 (3) (2021)
Nataliia Melnykova, Volodymyr Melnykov, Nataliya Shahovska, Natalia Lysa
The Investigation of Artificial Intelligence Methods for Identifying States and Analyzing System Transitions Between States. CSIT (1) (2020)
Shuchismita Sarkar, Volodymyr Melnykov, Rong Zheng
Gaussian mixture modeling and model-based clustering under measurement inconsistency. Adv. Data Anal. Classif. 14 (2) (2020)
Nataliya Shakhovska, Nataliia Melnykova, Volodymyr Melnykov, Vitaly Mahlovanyj, Nataliya Hrabovska
The Novel Approach to Modeling the Spread of Viral Infections. CSIT (2020)
Nataliia Melnykova, Natalya Shakhovska, Volodymyr Melnykov, Mykola Logoyda, Yulia Peleshchak
The Problem of Analysing the Relationships between Individual Characteristics of Individuals with COVID'19. IDDM (2020)
Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Mariana Zakharchuk, Mykola Logoyda, Vitalii Mahlovanyi
The Applying Processing Intelligence Methods for Classify Persons in Identify Personalized Medication Decisions. ACIT (2020)
Semhar Michael, Tatjana Miljkovic, Volodymyr Melnykov
Mixture modeling of data with multiple partial right-censoring levels. Adv. Data Anal. Classif. 14 (2) (2020)
Volodymyr Melnykov, Semhar Michael
Clustering Large Datasets by Merging K-Means Solutions. J. Classif. 37 (1) (2020)
Shuchismita Sarkar, Xuwen Zhu, Volodymyr Melnykov, Salvatore Ingrassia
On parsimonious models for modeling matrix data. Comput. Stat. Data Anal. 142 (2020)
Igor Melnykov, Volodymyr Melnykov
A Note on the Formal Implementation of the K-means Algorithm with Hard Positive and Negative Constraints. J. Classif. 37 (3) (2020)
Volodymyr Melnykov, Xuwen Zhu
Studying crime trends in the USA over the years 2000-2012. Adv. Data Anal. Classif. 13 (1) (2019)
Volodymyr Melnykov, Xuwen Zhu
-means algorithm to clustering skewed data. Comput. Stat. 34 (1) (2019)
Nataliia Melnykova, Volodymyr Melnykov, Edgars Vasilevskis
The Personalized Approach to the Processing and Analysis of Patients' Medical Data. IDDM (2018)
Xuwen Zhu, Volodymyr Melnykov
Manly transformation in finite mixture modeling. Comput. Stat. Data Anal. 121 (2018)
Volodymyr Melnykov, Xuwen Zhu
On model-based clustering of skewed matrix data. J. Multivar. Anal. 167 (2018)
Xuwen Zhu, Volodymyr Melnykov
ManlyMix: An R Package for Manly Mixture Modeling. R J. 9 (2) (2017)
Semhar Michael, Volodymyr Melnykov
Studying Complexity of Model-based Clustering. Commun. Stat. Simul. Comput. 45 (6) (2016)
Semhar Michael, Volodymyr Melnykov
An effective strategy for initializing the EM algorithm in finite mixture models. Adv. Data Anal. Classif. 10 (4) (2016)
Volodymyr Melnykov, Igor Melnykov, Semhar Michael
Semi-supervised model-based clustering with positive and negative constraints. Adv. Data Anal. Classif. 10 (3) (2016)
Semhar Michael, Volodymyr Melnykov
Finite Mixture Modeling of Gaussian Regression Time Series with Application to Dendrochronology. J. Classif. 33 (3) (2016)
Volodymyr Melnykov
Model-based biclustering of clickstream data. Comput. Stat. Data Anal. 93 (2016)
Xuwen Zhu, Volodymyr Melnykov
Probabilistic assessment of model-based clustering. Adv. Data Anal. Classif. 9 (4) (2015)
Volodymyr Melnykov, Gang Shen
Clustering through empirical likelihood ratio. Comput. Stat. Data Anal. 62 (2013)
Volodymyr Melnykov
On the distribution of posterior probabilities in finite mixture models with application in clustering. J. Multivar. Anal. 122 (2013)
Volodymyr Melnykov, Igor Melnykov
Initializing the EM algorithm in Gaussian mixture models with an unknown number of components. Comput. Stat. Data Anal. 56 (6) (2012)
Volodymyr Melnykov
Efficient estimation in model-based clustering of Gaussian regression time series. Stat. Anal. Data Min. 5 (2) (2012)
Volodymyr Melnykov, Ranjan Maitra
CARP: Software for Fishing Out Good Clustering Algorithms. J. Mach. Learn. Res. 12 (2011)