On uniform concentration bounds for Bi-clustering by using the Vapnik–Chervonenkis theory-Reference-Cited by-同舟云学术

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On uniform concentration bounds for Bi-clustering by using the Vapnik–Chervonenkis theory

Published:2021-08 Issue: Volume:175 Page:109102
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Chakraborty Saptarshi,Das Swagatam

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference31 articles.

1. Rademacher and Gaussian complexities: Risk bounds and structural results;Bartlett;J. Mach. Learn. Res.,2002

2. On the strong consistency of feature-weighted k-means clustering in a nearmetric space;Chakraborty;Stat,2019

3. Entropy weighted power k-means clustering;Chakraborty,2020

4. Convex biclustering;Chi;Biometrics,2017

5. Provable convex co-clustering of tensors;Chi,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Impact of metrics on biclustering solution and quality: A review;Pattern Recognition;2022-07

2. On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses;IEEE Transactions on Cybernetics;2022

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