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The Clustering Method Based on the Consequential Running of k-Means with Calculation of the Distances to the Active Centroids

A variant of the clustering problem solution based on k-means algorithm is considered. This algorithm is widely used in many fields of science and technology. The main drawbacks of k-means algorithm are the clustering results dependence on the choice of the initial configuration of centroids (initia...

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Bibliographic Details
Date:	2012
Main Authors:	Ткаченко, О. М., Біліченко, Н. О., Грійо Тукало, О. Ф., Дзісь, О. В.
Format:	Article
Language:	Ukrainian
Published:	Інститут проблем реєстрації інформації НАН України 2012
Subjects:	code books clustering k-means centroids kd-trees
Online Access:	http://drsp.ipri.kiev.ua/article/view/311801
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Journal Title:	Data Recording, Storage & Processing

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Data Recording, Storage & Processing

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