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Exact algorithms for size constrained clustering

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Clustering or cluster analysis [5] is a method in unsupervised learning and one of the most used techniques in statistical data analysis. Clustering has a wide range of applications in many areas like pattern recognition, medical diagnostics, datamining, biology, market research and image analysis among others. A cluster is a set of data points that in some sense are similar to each other, and clustering is a process of partitioning a data set into disjoint clusters. In distance clustering, the similarity among data points is obtained by means of a distance function.

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Call Number

510 LIN e

Publisher

Milan : Ledizioni LediPublishing., 2013

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Language

English

ISBN/ISSN

9788867050659

Classification

510

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text

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computer

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online resource

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Subject(s)

Mathematics

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Statement of Responsibility

Jianyi Lin

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Kurnadi

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Validator

maya

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