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.