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Relational Data Clustering [PDF]

by Bo Long
A culmination of the authors? years of extensive research on this topic, Relational Data Clustering Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply these models and algorithms to solve real-world problems.

After defining the field, the book introduces different types of model formulations for relational data clustering, presents various algorithms for the corresponding models, and demonstrates applications of the models and algorithms through extensive experimental results. The authors cover six topics of relational data clustering:

Clustering on bi-type heterogeneous relational data
Multi-type heterogeneous relational data
Homogeneous relational data clustering
Clustering on the most general case of relational data
Individual relational clustering framework
Recent research on evolutionary clustering

This book focuses on both practical algorithm derivation and theoretical framework construction for relational data clustering. It provides a complete, self-contained introduction to advances in the field.
[PDF] Relational Data Clustering download

Book info

eBook formatHardcover, (torrent)En
PublisherCRC Press
File size6.9 Mb
Release date 01.05.2010
Pages count196
Book rating4 (1 votes)
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1 comment

1. Persia Emily | 04.09.2015 17:33

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Thank you! Great book!

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