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Mixed Model-based Cluster Methods

Author: LiuYang
Tutor: ZhangBaoXue
School: Northeast Normal University
Course: Probability Theory and Mathematical Statistics
Keywords: Clustering Hybrid model Model selection EM algorithm
CLC: O212.4
Type: Master's thesis
Year: 2010
Downloads: 78
Quote: 0
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Abstract


Cluster analysis is a branch of multivariate statistics . Mixture model - based clustering algorithm is one of the many clustering algorithms . The comprehensive study of general theoretical framework and clustering method mixture model - based clustering algorithm , given an independent Gaussian and Beta distribution data finite dimensional joint model - based new clustering algorithm BGMMn of Analog comparator of the clustering algorithm BGMMn clustering algorithm BGMMs and BGMMh overall predictive clustering accuracy of E -score , and the estimated number of clusters accuracy Description BGMMn clustering algorithm clustering algorithm BGMMs, BGMMa, BGMMh advantages ; and BGMMn clustering algorithm is particularly applicable to the Gaussian distribution data clustering situation .

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CLC: > Mathematical sciences and chemical > Mathematics > Probability Theory and Mathematical Statistics > Mathematical Statistics > Multivariate analysis
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