Relational data clustering : models, algorithms, and applications
Author(s)
Bibliographic Information
Relational data clustering : models, algorithms, and applications
（Chapman & Hall/CRC data mining and knowledge discovery series）
Chapman & Hall/CRC, c2010
- : hardback
Available at / 9 libraries
-
No Libraries matched.
- Remove all filters.
Note
"A Chapman & Hall book"
Includes bibliographical references (p. 185-194) and index
Description and Table of Contents
Description
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.
Table of Contents
Introduction. Models. Algorithms. Applications. Summary. References. Index.
by "Nielsen BookData"