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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
752017
Entropy weighted power k-means clustering
S Chakraborty, D Paul, S Das, J Xu
International Conference on Artificial Intelligence and Statistics, 691-701, 2020
712020
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
392018
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, 2020
37*2020
Hierarchical clustering with optimal transport
S Chakraborty, D Paul, S Das
Statistics & Probability Letters 163, 108781, 2020
342020
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
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
152021
On the strong consistency of feature‐weighted k‐means clustering in a nearmetric space
S Chakraborty, S Das
Stat 8 (1), e227, 2019
122019
Robust Principal Component Analysis: A Median of Means Approach
D Paul, S Chakraborty, S Das
IEEE Transactions on Neural Networks and Learning Systems, 2023
82023
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
8*2022
On the Uniform Concentration Bounds and Large Sample Properties of Clustering with Bregman Divergences
D Paul, S Chakraborty, S Das
Stat, e360, 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
t-Entropy: A New Measure of Uncertainty with Some Applications
S Chakraborty, D Paul, S Das
arXiv e-prints, arXiv: 2105.00316, 2021
52021
Principal Ellipsoid Analysis (PEA): Efficient non-linear dimension reduction & clustering
D Paul, S Chakraborty, D Li, D Dunson
arXiv preprint arXiv:2008.07110, 2020
52020
Biconvex Clustering
S Chakraborty, J Xu
arXiv preprint arXiv:2008.01760, 2020
52020
On uniform concentration bounds for Bi-clustering by using the Vapnik–Chervonenkis theory
S Chakraborty, S Das
Statistics & Probability Letters 175, 109102, 2021
42021
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, 2022
32022
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
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
S Chakraborty, PL Bartlett
arXiv preprint arXiv:2401.15801, 2024
2024
Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification
S Chakraborty, D Paul, S Das
arXiv preprint arXiv:2201.01973, 2022
2022
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Articles 1–20