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
This hardback is available in another edition too:
- Paperback£59.99(9780367384050)
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.
ISBN: 9781420072617
Dimensions: unknown
Weight: 560g
212 pages