Publication 5 Hunting for Correlations in Data Using the Self−Organizing Map
نویسندگان
چکیده
The Self-Organizing Map (SOM) is an e cient tool for visualization of multidimensional numerical data. One of the tasks it is used for is correlation hunting. In this paper we present a simple method to enhance correlation hunting in the case of a large number of variables. Di erent variations of the method component plane reorganization are evaluated on a complex test data. The purpose is to somewhat validate the use of SOM in correlation hunting and to evaluate the strengths and weaknesses of di erent reorganization procedures. A case with a real world data is also presented to show the usefulness of the method.
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