Volodymyr Melnykov

According to our database, Volodymyr Melnykov authored at least 34 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

On Model-Based Clustering of Directional Data with Heavy Tails.

Yingying Zhang, Volodymyr Melnykov, Igor Melnykov

J. Classif., November, 2023

Conditional mixture modeling and model-based clustering.

Volodymyr Melnykov, Yang Wang

Pattern Recognit., 2023

2022

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

Xuwen Zhu, Shuchismita Sarkar, Volodymyr Melnykov

J. Classif., 2022

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

On finite mixture modeling and model-based clustering of directed weighted multilayer networks.

Volodymyr Melnykov, Shuchismita Sarkar, Yana Melnykov

Pattern Recognit., 2021

Transformation mixture modeling for skewed data groups with heavy tails and scatter.

Yana Melnykov, Xuwen Zhu, Volodymyr Melnykov

Comput. Stat., 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

Anomalies Detecting in Medical Metrics Using Machine Learning Tools.

Nataliia Melnykova, Roman Kulievych, Yaroslav Vycluk, Kateryna Melnykova, Volodymyr Melnykov

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.

Shuchismita Sarkar, Xuwen Zhu, Volodymyr Melnykov, Salvatore Ingrassia

Comput. Stat. Data Anal., 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

Clustering Large Datasets by Merging K-Means Solutions.

Volodymyr Melnykov, Semhar Michael

J. Classif., 2020

Gaussian mixture modeling and model-based clustering under measurement inconsistency.

Shuchismita Sarkar, Volodymyr Melnykov, Rong Zheng

Adv. Data Anal. Classif., 2020

Mixture modeling of data with multiple partial right-censoring levels.

Semhar Michael, Tatjana Miljkovic, Volodymyr Melnykov

Adv. Data Anal. Classif., 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

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.

Nataliya Shakhovska, Nataliia Melnykova, Volodymyr Melnykov, Vitaly Mahlovanyj, Nataliya Hrabovska

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.

Nataliia Melnykova, Volodymyr Melnykov, Nataliya Shahovska, Natalia Lysa

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.

Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Mariana Zakharchuk, Mykola Logoyda, Vitalii Mahlovanyi

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.

Volodymyr Melnykov, Xuwen Zhu

Comput. Stat., 2019

Studying crime trends in the USA over the years 2000-2012.

Volodymyr Melnykov, Xuwen Zhu

Adv. Data Anal. Classif., 2019

2018

On model-based clustering of skewed matrix data.

Volodymyr Melnykov, Xuwen Zhu

J. Multivar. Anal., 2018

Manly transformation in finite mixture modeling.

Xuwen Zhu, Volodymyr Melnykov

Comput. Stat. Data Anal., 2018

The Personalized Approach to the Processing and Analysis of Patients' Medical Data.

Nataliia Melnykova, Volodymyr Melnykov, Edgars Vasilevskis

Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), 2018

2017

ManlyMix: An R Package for Manly Mixture Modeling.

Xuwen Zhu, Volodymyr Melnykov

R J., 2017

2016

Studying Complexity of Model-based Clustering.

Semhar Michael, Volodymyr Melnykov

Commun. Stat. Simul. Comput., 2016

Model-based biclustering of clickstream data.

Volodymyr Melnykov

Comput. Stat. Data Anal., 2016

Finite Mixture Modeling of Gaussian Regression Time Series with Application to Dendrochronology.

Semhar Michael, Volodymyr Melnykov

J. Classif., 2016

An effective strategy for initializing the EM algorithm in finite mixture models.

Semhar Michael, Volodymyr Melnykov

Adv. Data Anal. Classif., 2016

Semi-supervised model-based clustering with positive and negative constraints.

Volodymyr Melnykov, Igor Melnykov, Semhar Michael

Adv. Data Anal. Classif., 2016

2015

Probabilistic assessment of model-based clustering.

Xuwen Zhu, Volodymyr Melnykov

Adv. Data Anal. Classif., 2015

2013

On the distribution of posterior probabilities in finite mixture models with application in clustering.

Volodymyr Melnykov

J. Multivar. Anal., 2013

Clustering through empirical likelihood ratio.

Volodymyr Melnykov, Gang Shen

Comput. Stat. Data Anal., 2013

2012

Efficient estimation in model-based clustering of Gaussian regression time series.

Volodymyr Melnykov

Stat. Anal. Data Min., 2012

Initializing the EM algorithm in Gaussian mixture models with an unknown number of components.

Volodymyr Melnykov, Igor Melnykov

Comput. Stat. Data Anal., 2012

2011

CARP: Software for Fishing Out Good Clustering Algorithms.

Volodymyr Melnykov, Ranjan Maitra

J. Mach. Learn. Res., 2011