An algorithm to efficiently generate an approximation of a theory set

A theory set essentially consists of patterns that summarizes the observed inherent behavior of each cluster of observation in a data set. Furthermore, it is used in evaluating the cluster membership of new sets of data. Due to the large amount of computational resources needed to generate a theory...

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Bibliographic Details

Published in:	Philippine computing journal 4, 2 (2009(D)).
Main Author:	Malinao, Jasmine A.
Other Authors:	Dadios, Elmer P., Ang, Marcelo Jr., H.
Format:	Article
Language:	English
Subjects:	Approximate crisp theory set formation (ACTSF). Logical Analysis of Data (LAD). Neural Networks. Support Vector Machines. Data binarization.