Debolina PaulIndian Stat Inst Kolkata, India关注立即认领分享关注立即认领分享基本信息浏览量：2职业迁徙个人简介暂无内容研究兴趣论文共 14 篇作者统计合作学者相似作者按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选时间引用量主题期刊级别合作者合作机构Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering ApproachDebolina Paul,Saptarshi Chakraborty,Swagatam Das,Jason XuIEEE Trans Pattern Anal Mach Intell（2023）引用0浏览0WOSEI引用00Robust and Automatic Data Clustering: Dirichlet Process meets Median-of-Means Supratik Basu, Jyotishka Ray Choudhury,Debolina Paul,Swagatam Dasarxiv（2023）引用0浏览0引用00On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical AnalysesSaptarshi Chakraborty,Debolina Paul,Swagatam DasIEEE Trans Cybern（2022）引用1浏览0WOSEI引用10lt;/tex>-Entropy: A New Measure of Uncertainty with Some Applications">$t$-Entropy: A New Measure of Uncertainty with Some ApplicationsSaptarshi Chakraborty,Debolina Paul,Swagatam Das2021 IEEE International Symposium on Information Theory (ISIT)pp.1475-1480, (2021)引用0浏览0EIWOS引用00On The Uniform Concentration Bounds And Large Sample Properties Of Clustering With Bregman DivergencesDebolina Paul,Saptarshi Chakraborty,Swagatam DasSTAT（2021）引用6浏览0引用60Uniform Concentration Bounds toward a Unified Framework for Robust ClusteringDebolina Paul,Saptarshi Chakraborty,Swagatam Das,Jason XuNeurIPS（2021）引用15浏览0EI引用150Robust Principal Component Analysis: A Median of Means ApproachDebolina Paul,Saptarshi Chakraborty,Swagatam Dasarxiv（2021）引用4浏览0EIWOS引用40Automated Clustering Of High-Dimensional Data With A Feature Weighted Mean Shift AlgorithmSaptarshi Chakraborty,Debolina Paul,Swagatam DasTHIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLI...（2021）引用14浏览0EI引用140Entropy Weighted Power K-Means ClusteringSaptarshi Chakraborty,Debolina Paul,Swagatam Das,Jason XuINTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108（2020）引用51浏览0EI引用510Hierarchical clustering with optimal transportSaptarshi Chakraborty,Debolina Paul,Swagatam DasStatistics & Probability Letters（2020）引用20浏览0引用200加载更多
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