TY - GEN
T1 - Nearest prototype classification of special school families based on hierarchical compact sets clustering
AU - Villuendas-Rey, Yenny
AU - Rey-Benguría, Carmen
AU - Caballero-Mota, Yailé
AU - García-Lorenzo, María Matilde
PY - 2012
Y1 - 2012
N2 - The family orientation process in Cuban Schools for children with Affective - Behavioral Maladies (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. In addition, the proposed clustering method is able to detect the true partitions of data and it was significantly better with respect to others according to external validity indexes. In prototype selection, the proposal obtains a highly reduced prototype set, while maintains the original classifier accuracy.
AB - The family orientation process in Cuban Schools for children with Affective - Behavioral Maladies (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. In addition, the proposed clustering method is able to detect the true partitions of data and it was significantly better with respect to others according to external validity indexes. In prototype selection, the proposal obtains a highly reduced prototype set, while maintains the original classifier accuracy.
KW - Mixed data
KW - Nearest prototype classifiers
KW - Special schools
UR - http://www.scopus.com/inward/record.url?scp=84893169485&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-34654-5_67
DO - 10.1007/978-3-642-34654-5_67
M3 - Contribución a la conferencia
SN - 9783642346538
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 662
EP - 671
BT - Advances in Artificial Intelligence, IBERAMIA 2012 - 13th Ibero-American Conference on AI, Proceedings
PB - Springer Verlag
T2 - 13th Ibero-American Conference on Advancesin Artificial Intelligence, IBERAMIA 2012
Y2 - 13 November 2012 through 16 November 2012
ER -