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A Novel Approach for Clustering based on Pattern Analysis

by Prachi M. Joshi, Dr. Parag A. Kulkarni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 4
Year of Publication: 2011
Authors: Prachi M. Joshi, Dr. Parag A. Kulkarni
10.5120/3023-4089

Prachi M. Joshi, Dr. Parag A. Kulkarni . A Novel Approach for Clustering based on Pattern Analysis. International Journal of Computer Applications. 25, 4 ( July 2011), 1-4. DOI=10.5120/3023-4089

@article{ 10.5120/3023-4089,
author = { Prachi M. Joshi, Dr. Parag A. Kulkarni },
title = { A Novel Approach for Clustering based on Pattern Analysis },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 4 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number4/3023-4089/ },
doi = { 10.5120/3023-4089 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:51.558559+05:30
%A Prachi M. Joshi
%A Dr. Parag A. Kulkarni
%T A Novel Approach for Clustering based on Pattern Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 4
%P 1-4
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Clustering aims at grouping of data into clusters based on the similarity between them. It is the pattern of the data that governs grouping. In this paper, we propose method for clustering that is based on finding closeness between the data series. A novel method referred as Clustering with Closeness factor (CCF) is proposed that works in two phases and is not pre-bound with clusters numbers. The method identifies the pattern of data and performs clustering. With proper selection of threshold value, the approach can prove to be a big step for decision making.

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Index Terms

Computer Science
Information Sciences

Keywords

Clustering closeness threshold k-means

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