Relational Data Clustering

Models, Algorithms, and Applications

Philip S Yu author Bo Long author Zhongfei Zhang author

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:19th May '10

Currently unavailable, and unfortunately no date known when it will be back

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Relational Data Clustering cover

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:



  1. Clustering on bi-type heterogeneous relational data


  2. Multi-type heterogeneous relational data


  3. Homogeneous relational data clustering


  4. Clustering on the most general case of relational data


  5. Individual relational clustering framework


  6. 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.

ISBN: 9781420072617

Dimensions: unknown

Weight: 560g

212 pages