Partitional Clustering via Nonsmooth Optimization is popular PDF and ePub book, written by Adil M. Bagirov in 2020-02-24, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Partitional Clustering via Nonsmooth Optimization can be Read Online from any device for your convenience.

Partitional Clustering via Nonsmooth Optimization Book PDF Summary

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.

Detail Book of Partitional Clustering via Nonsmooth Optimization PDF

Partitional Clustering via Nonsmooth Optimization
  • Author : Adil M. Bagirov
  • Release : 24 February 2020
  • Publisher : Springer Nature
  • ISBN : 9783030378264
  • Genre : Technology & Engineering
  • Total Page : 343 pages
  • Language : English
  • PDF File Size : 20,8 Mb

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