The incremental online k-means clustering algorithm and its application to color quantization-Reference-Cited by-同舟云学术

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The incremental online k-means clustering algorithm and its application to color quantization

Published:2022-11 Issue: Volume:207 Page:117927
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Abernathy Amber,Celebi M. Emre^ORCID

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference62 articles.

1. Clustering with bregman divergences;Banerjee;Journal of Machine Learning Research,2005

2. The effect of finite sample size on on-line K-means;Bermejo;Neurocomputing,2002

3. Online learning and stochastic approximations;Bottou,1998

4. Convergence properties of the K-means algorithms;Bottou,1995

5. Algorithm 659: Implementing sobol’s quasirandom sequence generator;Bratley;ACM Transactions on Mathematical Software,1988

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