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Optimization Models in Cluster Analysis

Authors :
Adil M. Bagirov
Napsu Karmitsa
Sona Taheri
Source :
Unsupervised and Semi-Supervised Learning ISBN: 9783030378257
Publication Year :
2020
Publisher :
Springer International Publishing, 2020.

Abstract

This chapter presents different formulations of the clustering problem using various optimization approaches. They include the mixed integer programming, the general nonsmooth, and the nonsmooth DC formulations of the clustering problem. We introduce the auxiliary clustering problem and study optimality conditions for both the clustering and the auxiliary clustering problems. Finally, we discuss the smoothing of the clustering and the auxiliary clustering problems.

Details

ISBN :
978-3-030-37825-7
ISBNs :
9783030378257
Database :
OpenAIRE
Journal :
Unsupervised and Semi-Supervised Learning ISBN: 9783030378257
Accession number :
edsair.doi...........24c0266eec3a373c65006a193c44aab0