Robust deep k-means: An effective and simple method for data clustering-Reference-Cited by-同舟云学术

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Robust deep k-means: An effective and simple method for data clustering

Published:2021-09 Issue: Volume:117 Page:107996
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Huang Shudong,Kang Zhao,Xu Zenglin,Liu Quanhui

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Science and Technology Bureau of Chengdu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. Deep k-means: a simple and effective method for data clustering;Huang,2020

2. Data clustering: 50 years beyond k-means;Jain;Pattern Recognit. Lett.,2010

3. Clustering with Bregman divergences;Banerjee;J. Mach. Learn. Res.,2005

4. An improved clustering algorithm for text mining: multi-cluster spherical k-means;Tunali;Int. Arab J. Inf. Technol.,2016

5. On speech recognition algorithms;Ault;Int. J. Mach. Learn. Comput.,2018

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