This book describes optimization models of clustering problems and
clustering algorithms based on optimization techniques, including
their implementation, evaluation, and applications. The book gives
a comprehensive and detailed description of optimization approaches
for solving clustering problems; the authors' emphasis on
clustering algorithms is based on deterministic methods of
optimization. The book also includes results on real-time
clustering algorithms based on optimization techniques, addresses
implementation issues of these clustering algorithms, and discusses
new challenges arising from big data. The book is ideal for anyone
teaching or learning clustering algorithms. It provides an
accessible introduction to the field and it is well suited for
practitioners already familiar with the basics of optimization.
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