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An Empirical Investigation on Kohonen Clustering in Indian Retail Industry

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IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies
© 2012 by IJCA Journal
ICNICT - Number 1
Year of Publication: 2012
Authors:
Ruchi Agarwal
Jayanthi Ranjan
Tarun Pandeya
S. L. Gupta

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

@article{key:article,
	author = {Ruchi Agarwal and Jayanthi Ranjan and Tarun Pandeya and S. L. Gupta},
	title = {Article: An Empirical Investigation on Kohonen Clustering in Indian Retail Industry},
	journal = {IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies},
	year = {2012},
	volume = {ICNICT},
	number = {1},
	pages = {7-12},
	month = {November},
	note = {Full text available}
}

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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