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Reseach Article

Assessment of Financial Status of SHG Members: A Clustering Approach

by Sajeev B. U, K. Thangavel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 2
Year of Publication: 2011
Authors: Sajeev B. U, K. Thangavel

Sajeev B. U, K. Thangavel . Assessment of Financial Status of SHG Members: A Clustering Approach. International Journal of Computer Applications. 32, 2 ( October 2011), 7-15. DOI=10.5120/3875-5416

@article{ 10.5120/3875-5416,
author = { Sajeev B. U, K. Thangavel },
title = { Assessment of Financial Status of SHG Members: A Clustering Approach },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 2 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 7-15 },
numpages = {9},
url = { },
doi = { 10.5120/3875-5416 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T20:18:05.590663+05:30
%A Sajeev B. U
%A K. Thangavel
%T Assessment of Financial Status of SHG Members: A Clustering Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 2
%P 7-15
%D 2011
%I Foundation of Computer Science (FCS), NY, USA

Data mining has attracted a great deal of attention in information industry and in society as a whole in recent years, due to the wide availability of huge amount of data and for converting these data to useful information and knowledge. Clustering analysis is a key and easy tool in data mining and pattern recognition. In this paper K-Means and Fuzzy C-means clustering algorithms are used for evaluating the performance of various Self Help Groups (SHGs) in Kerala State, and suggestions are made to improve socioeconomic status. The necessary information about the members of SHG has been collected from 9 districts in Kerala State, Indi. The parameters chosen for the study are financial status, types of loan availed, improvement in assets before and after joining the group, effect of joining in more than one group. District wise analysis are also performed.

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Index Terms

Computer Science
Information Sciences


K-Means Fuzzy C-Means financial status