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IMPORTANT BUSSINESS FACTOR ANALYSIS USING DATAMINING APPROACH IN FINANCIAL SECTOR

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Author(s): A.SURESH | Dr.K.L.SHANMUGHANATHAN

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 4;
Issue: 2;
Start page: 606;
Date: 2012;
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Keywords: meaningful structures | develop taxonomies | cluster analysis

ABSTRACT
The term cluster analysis encompasses a number of various types of algorithms and methods for grouping objects of similar kind into relevant categories. A common question facing researchers in a lot of areas of analysis is how to organize experimental data into meaningful structures, that is, to develop taxonomies. In otherwords cluster analysis is an examining data analysis tool which aims at sorting different objects into groups in a way that the degree of association between two objects is maximal if they belong to the similar group and minimal otherwise. Given the above, cluster analysis can be used to determine structures in data without providing clarification/interpretation. In other way, cluster analysis simply discovers structures in data without explaining why they exist.
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