| Finite mixture models and model-based clustering V Melnykov, R Maitra | 379 | 2010 |
| MixSim: An R package for simulating data to study performance of clustering algorithms V Melnykov, WC Chen, R Maitra Journal of Statistical Software 51, 1-25, 2012 | 189 | 2012 |
| Simulating data to study performance of finite mixture modeling and clustering algorithms R Maitra, V Melnykov Journal of Computational and Graphical Statistics 19 (2), 354-376, 2010 | 189 | 2010 |
| Initializing the EM algorithm in Gaussian mixture models with an unknown number of components V Melnykov, I Melnykov Computational Statistics & Data Analysis 56 (6), 1381-1395, 2012 | 153 | 2012 |
| On K-means algorithm with the use of Mahalanobis distances I Melnykov, V Melnykov Statistics & Probability Letters 84, 88-95, 2014 | 86 | 2014 |
| On model-based clustering of skewed matrix data V Melnykov, X Zhu Journal of Multivariate Analysis 167, 181-194, 2018 | 48 | 2018 |
| Bootstrapping for significance of compact clusters in multidimensional datasets R Maitra, V Melnykov, SN Lahiri Journal of the American Statistical Association 107 (497), 378-392, 2012 | 47 | 2012 |
| Model-based biclustering of clickstream data V Melnykov Computational Statistics & Data Analysis 93, 31-45, 2016 | 46 | 2016 |
| On parsimonious models for modeling matrix data S Sarkar, X Zhu, V Melnykov, S Ingrassia Computational Statistics & Data Analysis 142, 106822, 2020 | 45 | 2020 |
| Merging mixture components for clustering through pairwise overlap V Melnykov Journal of Computational and Graphical Statistics 25 (1), 66-90, 2016 | 44 | 2016 |
| Manly transformation in finite mixture modeling X Zhu, V Melnykov Computational Statistics & Data Analysis 121, 190-208, 2018 | 42 | 2018 |
| Studying crime trends in the USA over the years 2000–2012 V Melnykov, X Zhu Advances in Data Analysis and Classification 13, 325-341, 2019 | 41 | 2019 |
| Challenges in model‐based clustering V Melnykov Wiley interdisciplinary reviews: computational statistics 5 (2), 135-148, 2013 | 39 | 2013 |
| ClickClust: An R package for model-based clustering of categorical sequences V Melnykov Journal of Statistical Software 74, 1-34, 2016 | 35 | 2016 |
| EMCluster: EM algorithm for model-based clustering of finite mixture gaussian distribution WC Chen, R Maitra, V Melnykov R Package, URL http://cran. r-project. org/package= EMCluster, 2012 | 33 | 2012 |
| Semi-supervised model-based clustering with positive and negative constraints V Melnykov, I Melnykov, S Michael Advances in data analysis and classification 10, 327-349, 2016 | 28 | 2016 |
| CARP: Software for fishing out good clustering algorithms V Melnykov, R Maitra | 25 | 2011 |
| An effective strategy for initializing the EM algorithm in finite mixture models S Michael, V Melnykov Advances in Data Analysis and Classification 10, 563-583, 2016 | 24 | 2016 |
| Clustering Large Datasets by Merging K-Means Solutions V Melnykov, S Michael Journal of Classification 37 (1), 97-123, 2020 | 19 | 2020 |
| On the distribution of posterior probabilities in finite mixture models with application in clustering V Melnykov Journal of Multivariate Analysis 122, 175-189, 2013 | 18 | 2013 |
