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Relational Data Clustering - Models, Algorithms, and Applications (Paperback)
Loot Price: R1,886
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Relational Data Clustering - Models, Algorithms, and Applications (Paperback)
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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.
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