A comparative study of the K-means algorithm and the normal mixture model for clustering: Univariate case-Reference-Cited by-同舟云学术

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A comparative study of the K-means algorithm and the normal mixture model for clustering: Univariate case

Published:2007-11 Issue:11 Volume:137 Page:3722-3740
ISSN:0378-3758
Container-title:Journal of Statistical Planning and Inference
language:en
Short-container-title:Journal of Statistical Planning and Inference

Author:

Qiu Dingxi,Tamhane Ajit C.

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference7 articles.

1. An Introduction to Multivariate Statistical Analysis;Anderson,1958

2. Maximum likelihood from incomplete data via the EM algorithm (with discussion);Dempster;J. Roy. Statist. Soc. Ser. B,1977

3. Cluster Analysis;Everitt,1993

4. The Elements of Statistical Learning: Data Mining, Inference and Prediction;Hastie,2002

5. Continuous Univariate Distributions-2;Johnson,1970

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