Northwestern University

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Cluster Analysis for Correlated Multivariate Normal and Binary Data

Description:

Cluster Analysis deals with classifying a sample of multivariate measurements into different categories. In this dissertation we study the effect of the correlation structure of the data on the performance of a clustering method. We begin with the analysis of two-component normal mixture models and then proceed to cluster analysis...

Keyword:

Data mining, Clustering, K-means algorithm, Mixture model, and EM algorithm

Subject:

Industrial Engineering and Management Sciences

Creator:

Dingxi Qiu

Owner:

Scholarly Digital Publishing

Date Uploaded:

08/13/2018

Date Modified:

08/13/2018

Date Created:

2007-06-26

Resource Type:

Dissertation