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A modification of the k-means method for quasi-unsupervised learning

✍ Scribed by David Rebollo-Monedero; Marc Solé; Jordi Nin; Jordi Forné

Book ID
119317219
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
380 KB
Volume
37
Category
Article
ISSN
0950-7051

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The core of a k-means algorithm is the reallocation phase. A variety of schemes have been suggested for moving entities from one cluster to another and each of them may give a di erent clustering even though the data set is the same. The present paper describes shortcomings and relative merits of 17