Improving the family orientation process in Cuban Special Schools trough Nearest Prototype classification

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Abstract
Cuban Schools for children with Affective – Behavioral Maladies (SABM) have as goal to accomplish a major change in children behavior, to insert them effectively into society. One of the key elements in this objective is to give an adequate orientation to the children’s families; due to the family is one of the most important educational contexts in which the children will develop their personality. The family orientation process in SABM involves clustering and classification of mixed type data with non-symmetric similarity functions. To improve this process, this paper includes some novel characteristics in clustering and prototype selection. The proposed approach uses a hierarchical clustering based on compact sets, making it suitable for dealing with non-symmetric similarity functions, as well as with mixed and incomplete data. The proposal obtains very good results on the SABM data, and over repository databases.
Year of Publication
2013
Journal
International Journal of Interactive Multimedia and Artificial Intelligence
Volume
2
Issue
Special Issue on Artificial Intelligence and Social Application
Number
1
Number of Pages
12-22
Date Published
03/2013
ISSN Number
1989-1660
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