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Reseach Article

An Empirical Investigation on Kohonen Clustering in Indian Retail Industry

Published on November 2012 by Ruchi Agarwal, Jayanthi Ranjan, Tarun Pandeya, S. L. Gupta
Issues and Challenges in Networking, Intelligence and Computing Technologies
Foundation of Computer Science USA
ICNICT - Number 1
November 2012
Authors: Ruchi Agarwal, Jayanthi Ranjan, Tarun Pandeya, S. L. Gupta
b5c4034c-b604-4063-bc84-226ab45d2670

Ruchi Agarwal, Jayanthi Ranjan, Tarun Pandeya, S. L. Gupta . An Empirical Investigation on Kohonen Clustering in Indian Retail Industry. Issues and Challenges in Networking, Intelligence and Computing Technologies. ICNICT, 1 (November 2012), 7-12.

@article{
author = { Ruchi Agarwal, Jayanthi Ranjan, Tarun Pandeya, S. L. Gupta },
title = { An Empirical Investigation on Kohonen Clustering in Indian Retail Industry },
journal = { Issues and Challenges in Networking, Intelligence and Computing Technologies },
issue_date = { November 2012 },
volume = { ICNICT },
number = { 1 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 7-12 },
numpages = 6,
url = { /specialissues/icnict/number1/9013-1004/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Issues and Challenges in Networking, Intelligence and Computing Technologies
%A Ruchi Agarwal
%A Jayanthi Ranjan
%A Tarun Pandeya
%A S. L. Gupta
%T An Empirical Investigation on Kohonen Clustering in Indian Retail Industry
%J Issues and Challenges in Networking, Intelligence and Computing Technologies
%@ 0975-8887
%V ICNICT
%N 1
%P 7-12
%D 2012
%I International Journal of Computer Applications
Abstract

Kohonen clustering is one of the important functions of data mining. From the aspect of data mining, clustering research extracts valuable knowledge from large data sets intelligently and automatically. Kohonen clustering was proposed along with the development of databases and the emergence of data mining and Knowledge discovery technology. Kohonen clustering is applied in many areas, such as: pattern recognition, marketing, market segmentation and so on. In this paper, an empirical investigation was done using a data mining tool Clementine (a data mining tool of SPSS) and Kohonen neural network clustering algorithm to analyze the real sales database of the Indian retail organization, in order to find out the clusters of similar product categories.

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Index Terms

Computer Science
Information Sciences

Keywords

Kohonen Clustering Data Mining