A heuristic algorithm for solving the minimum sum-of-squares clustering problems

Clustering is an important task in data mining. It can be formulated as a global optimization problem which is challenging for existing global optimization techniques even in medium size data sets. Various heuristics were developed to solve the clustering problem. The global k -means and modified gl...

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Bibliographic Details
Published in:	Journal of global optimization Vol. 61; no. 2; pp. 341 - 361
Main Authors:	Ordin, Burak, Bagirov, Adil M.
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.02.2015 Springer Springer Nature B.V
Subjects:	Algorithms Cluster analysis Clustering Clusters Computer Science Data mining Datasets Experiments Heuristic Integer programming Mathematical analysis Mathematical models Mathematical optimization Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Optimization algorithms Optimization techniques Real Functions Studies Tasks Texts Variables Global optimization Nonsmooth optimization Minimum sum-of-squares clustering Global means algorithm
ISSN:	0925-5001, 1573-2916
Online Access:	Get full text
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