Weighted ensemble of algorithms for complex data clustering-Reference-Cited by-同舟云学术

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Weighted ensemble of algorithms for complex data clustering

Published:2014-03 Issue: Volume:38 Page:99-106
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Berikov Vladimir

Publisher

Elsevier BV

Subject

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

Reference23 articles.

1. Weighted cluster ensembles: methods and analysis;Al-razgan;ACM Trans. Knowl. Discovery Data,2009

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

3. A latent variable pairwise classification model of a clustering ensemble;Berikov;LNAI,2011

4. Random forests;Breiman;Mach. Learn.,2001

5. Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability;Cussens;LNAI,1993

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