ebookshare.net

RELEASE iNFORMATiON

TiTLE : Constrained Clustering: Advances in Algorithms, Theory,
and Applications (Chapman & Hall/Crc Data Mining and
Knowledge Discovery Series)

AUTHOR : Sugato Basu , Ian Davidson , Kiri Wagstaff

PUBLISHER : Chapman & Hall/CRC

iSBN : 1584889969 MAKER : Team DDU

PAGES : 472 Pages PACKAGER : Team DDU

EDiTiON : August 18, 2008 SUPPLiER : Team DDU

LANGUAGE : ENGLISH FORMAT : PDF

RLS DATE : 02/17/2009 SiZE : 10.3 MB

RELEASE NOTES


[Product Information]

Since the initial work on constrained clustering, there have been
numerous advances in methods, applications, and our understanding
of the theoretical properties of constraints and constrained
clustering algorithms. Bringing these developments together,
Constrained Clustering: Advances in Algorithms, Theory, and
Applications presents an extensive collection of the latest
innovations in clustering data analysis methods that use background
knowledge encoded as constraints.
Algorithms
The first five chapters of this volume investigate advances in the
use of instance-level, pairwise constraints for partitional and
hierarchical clustering. The book then explores other types of
constraints for clustering, including cluster size balancing,
minimum cluster size,and cluster-level relational constraints.
Theory
It also describes variations of the traditional clustering under
constraints problem as well as approximation algorithms with
helpful performance guarantees.
Applications
The book ends by applying clustering with constraints to relational
data, privacy-preserving data publishing, and video surveillance
data. It discusses an interactive visual clustering approach, a
distance metric learning approach, existential constraints, and
automatically generated constraints.
With contributions from industrial researchers and leading academic
experts who pioneered the field, this volume delivers thorough
coverage of the capabilities and limitations of constrained
clustering methods as well as introduces new types of constraints
and clustering algorithms.


[Install Information]

Unpack it !

[For more information]

http://www.amazon.com/exec/obidos/tg/detail/-/1584889969/