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Saptarshi Chakraborty
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Year
k− Means clustering with a new divergence-based distance metric: Convergence and performance analysis
S Chakraborty, S Das
Pattern Recognition Letters 100, 67-73, 2017
742017
Entropy weighted power k-means clustering
S Chakraborty, D Paul, S Das, J Xu
International conference on artificial intelligence and statistics, 691-701, 2020
722020
Detecting meaningful clusters from high-dimensional data: A strongly consistent sparse center-based clustering approach
S Chakraborty, S Das
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (6), 2894-2908, 2020
432020
Simultaneous variable weighting and determining the number of clusters—A weighted Gaussian means algorithm
S Chakraborty, S Das
Statistics & Probability Letters 137, 148-156, 2018
402018
Hierarchical clustering with optimal transport
S Chakraborty, D Paul, S Das
Statistics & probability letters 163, 108781, 2020
392020
Automated clustering of high-dimensional data with a feature weighted mean shift algorithm
S Chakraborty, D Paul, S Das
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6930-6938, 2021
182021
Uniform concentration bounds toward a unified framework for robust clustering
D Paul, S Chakraborty, S Das, J Xu
Advances in Neural Information Processing Systems 34, 8307-8319, 2021
162021
Implicit annealing in kernel spaces: A strongly consistent clustering approach
D Paul, S Chakraborty, S Das, J Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5862-5871, 2022
15*2022
Robust principal component analysis: a median of means approach
D Paul, S Chakraborty, S Das
IEEE Transactions on Neural Networks and Learning Systems, 2023
132023
On the strong consistency of feature‐weighted k‐means clustering in a nearmetric space
S Chakraborty, S Das
Stat 8 (1), e227, 2019
132019
Biconvex clustering
S Chakraborty, J Xu
Journal of Computational and Graphical Statistics 32 (4), 1524-1536, 2023
92023
On the uniform concentration bounds and large sample properties of clustering with Bregman divergences
D Paul, S Chakraborty, S Das
Stat 10 (1), e360, 2021
82021
-Entropy: A New Measure of Uncertainty with Some Applications
S Chakraborty, D Paul, S Das
2021 IEEE International Symposium on Information Theory (ISIT), 1475-1480, 2021
72021
Bregman power k-means for clustering exponential family data
A Vellal, S Chakraborty, JQ Xu
International Conference on Machine Learning, 22103-22119, 2022
52022
On consistent entropy-regularized k-means clustering with feature weight learning: Algorithm and statistical analyses
S Chakraborty, D Paul, S Das
IEEE Transactions on Cybernetics 53 (8), 4779-4790, 2022
52022
On the statistical properties of generative adversarial models for low intrinsic data dimension
S Chakraborty, PL Bartlett
arXiv preprint arXiv:2401.15801, 2024
42024
On uniform concentration bounds for bi-clustering by using the Vapnik–Chervonenkis theory
S Chakraborty, S Das
Statistics & Probability Letters 175, 109102, 2021
42021
Principal ellipsoid analysis (PEA): Efficient non-linear dimension reduction & clustering
D Paul, S Chakraborty, D Li, D Dunson
arXiv preprint arXiv:2008.07110, 2020
42020
Clustering High-dimensional Data with Ordered Weighted Regularization
C Chakraborty, S Paul, S Chakraborty, S Das
International Conference on Artificial Intelligence and Statistics, 7176-7189, 2023
12023
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data
S Chakraborty, PL Bartlett
arXiv preprint arXiv:2410.20659, 2024
2024
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