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Dtic Ada1020847%3a The Classification And Mixture Maximum Likelihood Approaches To Cluster Analysis. by Defense Technical Information Center
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1DTIC ADA1020847: The Classification And Mixture Maximum Likelihood Approaches To Cluster Analysis.
By Defense Technical Information Center
A review is undertaken of two maximum likelihood approaches to cluster analysis, the so-called classification and mixture maximum likelihood methods. The basic assumptions of the two approaches and their associated properties are contrasted, in particular for multivariate normal component distributions. The problem of deciding how many clusters there are is discussed for each approach. Also, an account is given of the relative efficiency of the mixture approach to clustering. (Author)
“DTIC ADA1020847: The Classification And Mixture Maximum Likelihood Approaches To Cluster Analysis.” Metadata:
- Title: ➤ DTIC ADA1020847: The Classification And Mixture Maximum Likelihood Approaches To Cluster Analysis.
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA1020847: The Classification And Mixture Maximum Likelihood Approaches To Cluster Analysis.” Subjects and Themes:
- Subjects: ➤ DTIC Archive - McLachlan,G J - STANFORD UNIV CA DEPT OF STATISTICS - *POPULATION(MATHEMATICS) - MULTIVARIATE ANALYSIS - CLASSIFICATION - COVARIANCE - NORMAL DISTRIBUTION - NORMALITY
Edition Identifiers:
- Internet Archive ID: DTIC_ADA1020847
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The book is available for download in "texts" format, the size of the file-s is: 11.72 Mbs, the file-s for this book were downloaded 54 times, the file-s went public at Sun Dec 15 2019.
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