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Reseach Article

Comparative Analysis of Clustering Methods

by Abhineet Saxena, Lalit Mohan Goyal, Mamta Mittal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 21
Year of Publication: 2015
Authors: Abhineet Saxena, Lalit Mohan Goyal, Mamta Mittal
10.5120/20873-3452

Abhineet Saxena, Lalit Mohan Goyal, Mamta Mittal . Comparative Analysis of Clustering Methods. International Journal of Computer Applications. 118, 21 ( May 2015), 30-35. DOI=10.5120/20873-3452

@article{ 10.5120/20873-3452,
author = { Abhineet Saxena, Lalit Mohan Goyal, Mamta Mittal },
title = { Comparative Analysis of Clustering Methods },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 21 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number21/20873-3452/ },
doi = { 10.5120/20873-3452 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:02:23.602561+05:30
%A Abhineet Saxena
%A Lalit Mohan Goyal
%A Mamta Mittal
%T Comparative Analysis of Clustering Methods
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 21
%P 30-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The innumerable clustering methods which exist today form the basis of Data Mining and Cluster Analysis. This paper details the distinct classifications of clustering methods, describes prominent examples for each such classification and aims to bring about the comparison between the primary clustering techniques which form the basis of all the others, i. e. the Hierarchical and Partitional algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Clustering Data Mining Partitional Hierarchical