Using Extended Compact Sets to Cluster Educational Data
Carmen F. Rey -Benguría

Carmen F. Rey-Benguría, Educational Center “José Martí”, University of Ciego de Ávila, Cuba. 
Manuscript received on October 10, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 3321-3327 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4862119119/2019©BEIESP | DOI: 10.35940/ijitee.A4862.119119
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Abstract: The pedagogical orientation to the families of children with behavioral deficiencies needs a differentiated approach, accorded to the particular characteristics of each family. To accomplish this task, the personnel in charge of family orientation in the Schools for children with affective-behavioral maladies, diagnose the families, to obtain the peculiarities of the familiar dynamics. After that, they need to obtain groups of similar families, in order to carry out a better orientation. The data of the familiar dynamics are mixed an incomplete, and the desired group number is not given. In this paper we extend the  0-compact sets structuralization to cluster the families according to their characteristics. We found five groups, each of them with distinctive familiar dynamics. With the five groups, the family orientation specialists designed a personalized strategy with a more coherent and adequate orientation.
Keywords: Clustering, Education, family Orientation, Mixed Data.
Scope of the Article: Clustering