Personal information

Pattern Recognition, Clustering
India

Activities

Education and qualifications (3)

University of California, Berkeley: Berkeley, California, US

2020-08-17 to present | PhD (Department of Statistics)
Education
Source: Self-asserted source
Saptarshi Chakraborty

Indian Statistical Institute: Kolkata, West Bengal, IN

2018-07 to 2020-06 | M.Stat
Education
Source: Self-asserted source
Saptarshi Chakraborty

Indian Statistical Institute: Kolkata, West Bengal, IN

2015-07 to 2018-05 | B.Stat (Hons.)
Education
Source: Self-asserted source
Saptarshi Chakraborty

Works (12)

Robust Principal Component Analysis: A Median of Means Approach

IEEE Transactions on Neural Networks and Learning Systems
2024 | Journal article
Contributors: Debolina Paul; Saptarshi Chakraborty; Swagatam Das
Source: check_circle
Crossref

Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence
2023-05-01 | Journal article
Contributors: Debolina Paul; Saptarshi Chakraborty; Swagatam Das; Jason Xu
Source: check_circle
Crossref

On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses

IEEE Transactions on Cybernetics
2022 | Journal article
Contributors: Saptarshi Chakraborty; Debolina Paul; Swagatam Das
Source: check_circle
Crossref

Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence
2022-06-01 | Journal article
Contributors: Saptarshi Chakraborty; Swagatam Das
Source: check_circle
Crossref

On the uniform concentration bounds and large sample properties of clustering with Bregman divergences

Stat
2021-12 | Journal article
Contributors: Debolina Paul; Saptarshi Chakraborty; Swagatam Das
Source: check_circle
Crossref

Entropy Weighted Power k-Means Clustering

Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics
2020 | Conference paper
URI:

http://proceedings.mlr.press/v108/chakraborty20a.html

Source: Self-asserted source
Saptarshi Chakraborty

Hierarchical clustering with optimal transport

Statistics & Probability Letters
2020-08 | Journal article
Contributors: Saptarshi Chakraborty; Debolina Paul; Swagatam Das
Source: check_circle
Crossref

A New Visual Cryptography Scheme with Perfect Contrast using Galois Fields

2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)
2019-10 | Conference paper
Source: Self-asserted source
Saptarshi Chakraborty

On the non-convergence of differential evolution

Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '19
2019-07-13 | Conference poster
Source: Self-asserted source
Saptarshi Chakraborty

On the strong consistency of feature‐weighted k‐means clustering in a nearmetric space

Stat
2019-01 | Journal article
Contributors: Saptarshi Chakraborty; Swagatam Das
Source: check_circle
Crossref

Simultaneous variable weighting and determining the number of clusters—A weighted Gaussian means algorithm

Statistics and Probability Letters
2018 | Journal article
EID:

2-s2.0-85044670293

Contributors: Chakraborty, S.; Das, S.
Source: Self-asserted source
Saptarshi Chakraborty via Scopus - Elsevier

K−Means clustering with a new divergence-based distance metric: Convergence and performance analysis

Pattern Recognition Letters
2017 | Journal article
EID:

2-s2.0-85030989885

Contributors: Chakraborty, S.; Das, S.
Source: Self-asserted source
Saptarshi Chakraborty via Scopus - Elsevier

Peer review (4 reviews for 3 publications/grants)

Review activity for Engineering applications of artificial intelligence. (1)
Review activity for SN computer science. (2)
Review activity for Test. (1)