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Springer Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning)

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Description

Provides a comprehensive description of clustering algorithms based on nonsmooth and global optimization techniques Addresses problems of real-time clustering in large data sets and challenges arising from big data Describes implementation and evaluation of optimization based clustering algorithms

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 February 2021
Listed Since
29 January 2021

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