Partitional Clustering Via Nonsmooth Optimization: Clustering Via Optimization, Hardcover/Adil M. Bagirov - Springer

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This book describes Optimization models of Clustering problems and Clustering algorithms based on Optimization techniques, including their implementation, evaluation, and applications.
His m.
He was awarded the Australian Research Council Postdoctoral Fellowship and the Australian Research Council Research Fellowship.
He has won five Australian Research Council Discovery and Linkage grants to conduct research in Nonsmooth and global Optimization and their applications.
He currently holds the Associate Professor position at this university.
Bagirov is with Federation University Australia (Ballarat, Australia) since 1999.
Dr.
He worked at the Space Research Institute (Baku, Azerbaijan), Baku State University (Baku, Azerbaijan), Joint Institute for Nuclear Research (Moscow, Russia).
He received a master degree in Applied Mathematics from Baku State University, Azerbaijan in 1983, and the Candidate of Sciences degree in Mathematical Cybernetics from the Institute of Cybernetics of Azerbaijan National Academy of Sciences in 1989 and Ph D degree in Optimization from Federation University Australia (formerly the University of Ballarat), Ballarat, Australia in 2002.
Bagirov is currently an Associate Professor at School of Science, Engineering and Information Technology, Federation University Australia, Ballarat, Australia.
About the Author Adil M.
It provides an accessible introduction to the eld and it is well suited for practitioners already familiar with the basics of optimization.
The book is ideal for anyone teaching or learning Clustering algorithms.
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 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.
This book describes Optimization models of Clustering problems and Clustering algorithms based on Optimization techniques, including their implementation, evaluation, and applications