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Grouping Multidimensional Data : Recent Advances in Clustering

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Cover of 'Grouping Multidimensional Data : Recent Advances in Clustering'

Table of Contents

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    Book Overview
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    Chapter 1 The Star Clustering Algorithm for Information Organization
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    Chapter 2 A Survey of Clustering Data Mining Techniques
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    Chapter 3 Similarity-Based Text Clustering: A Comparative Study
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    Chapter 4 Clustering Very Large Data Sets with Principal Direction Divisive Partitioning
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    Chapter 5 Clustering with Entropy-Like k -Means Algorithms
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    Chapter 6 Sampling Methods for Building Initial Partitions
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    Chapter 7 TMG : A MATLAB Toolbox for Generating Term-Document Matrices from Text Collections
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    Chapter 8 Criterion Functions for Clustering on High-Dimensional Data
Attention for Chapter 4: Clustering Very Large Data Sets with Principal Direction Divisive Partitioning
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