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Reseach Article

Review of Existing Methods for Finding Initial Clusters in K-means Algorithm

by Harmanpreet Singh, Kamaljit Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 14
Year of Publication: 2013
Authors: Harmanpreet Singh, Kamaljit Kaur
10.5120/11649-7148

Harmanpreet Singh, Kamaljit Kaur . Review of Existing Methods for Finding Initial Clusters in K-means Algorithm. International Journal of Computer Applications. 68, 14 ( April 2013), 24-28. DOI=10.5120/11649-7148

@article{ 10.5120/11649-7148,
author = { Harmanpreet Singh, Kamaljit Kaur },
title = { Review of Existing Methods for Finding Initial Clusters in K-means Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 14 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number14/11649-7148/ },
doi = { 10.5120/11649-7148 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:27:51.299500+05:30
%A Harmanpreet Singh
%A Kamaljit Kaur
%T Review of Existing Methods for Finding Initial Clusters in K-means Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 14
%P 24-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Clustering is one of the Data Mining tasks that can be used to cluster or group objects on the basis of their nearness to the central value. It has found many applications in the field of business, image processing, medical etc. K Means is one the method of clustering which is used widely because it is simple and efficient. The output of the K Means depends upon the chosen central values for clustering. So accuracy of the K Means algorithm depends much on the chosen central values. This paper presents the various methods evolved by researchers for finding initial clusters for K Means.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic Initialisation of Means (AIM) Cluster Centre Initialisation (CCIA) Simple Cluster-Seeking (SCS)