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Title:An efficient k'-means clustering algorithm
Authors:ID Rizman Žalik, Krista (Author)
Files:URL http://dx.doi.org/10.1016/j.patrec.2008.02.014
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:This paper introduces k'-means algorithm that performs correct clustering without pre-assigning the exact number of clusters. This is achieved by minimizing a suggested cost-function. The cost-function extends the mean-square-error cost-function of k-means. The algorithm consists of two separate steps. The first is a pre-processing procedure that performs initial clustering and assigns at least one seed point to each cluster. During the second step, the seed-points are adjusted to minimize the cost-function. The algorithm automatically penalizes any possible winning chances for all rival seed-points in subsequent iterations. When the cost-function reaches a global minimum, the correct number of clusters is determined and the remaining seed points are located near the centres of actual clusters. The simulated experiments described in this paper confirm good performance of the proposed algorithm.
Keywords:algorithms, clustering analysis, k-means, cost-function, rival penalized mechanism, datasets
Year of publishing:2008
PID:20.500.12556/DKUM-26141 New window
UDC:004.93
ISSN on article:0167-8655
COBISS.SI-ID:12121366 New window
NUK URN:URN:SI:UM:DK:F7IENQHK
Publication date in DKUM:31.05.2012
Views:2690
Downloads:129
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
RIZMAN ŽALIK, Krista, 2008, An efficient k’-means clustering algorithm. Pattern recognition letters [online]. 2008. [Accessed 30 March 2025]. Retrieved from: http://dx.doi.org/10.1016/j.patrec.2008.02.014
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Record is a part of a journal

Title:Pattern recognition letters
Shortened title:Pattern recogn. lett.
Publisher:North-Holland
ISSN:0167-8655
COBISS.SI-ID:26103296 New window

Secondary language

Language:English
Keywords:cluster analiza, algoritmi, obdelava podatkov


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