TY - GEN
T1 - A supervised classifier scheme based on clustering algorithms
AU - Hernandez-Matamoros, A.
AU - Escamilla-Hernandez, E.
AU - Perez-Daniel, K.
AU - Nakano-Miyatake, M.
AU - Perez-Meana, H.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/30
Y1 - 2014/12/30
N2 - This paper proposes a new classifier scheme based on classical clustering algorithms, such as the Batchelor & Wilkins y K-means algorithms which are trained in a similar form that the artificial neural network (ANN) or support vector machines (SVM). Proposed scheme has the advantage that if a new class is added, it is not necessary to train he classifier completely, but only add a new class. Experimental results show that the proposed scheme provides classification rates quite similar to those provided by the SVM with much less computational complexity.
AB - This paper proposes a new classifier scheme based on classical clustering algorithms, such as the Batchelor & Wilkins y K-means algorithms which are trained in a similar form that the artificial neural network (ANN) or support vector machines (SVM). Proposed scheme has the advantage that if a new class is added, it is not necessary to train he classifier completely, but only add a new class. Experimental results show that the proposed scheme provides classification rates quite similar to those provided by the SVM with much less computational complexity.
KW - Pattern recognition
KW - Supervised training
KW - self-organizing maps
KW - support vector machines
UR - http://www.scopus.com/inward/record.url?scp=84929440293&partnerID=8YFLogxK
U2 - 10.1109/CONCAPAN.2014.7000404
DO - 10.1109/CONCAPAN.2014.7000404
M3 - Contribución a la conferencia
AN - SCOPUS:84929440293
T3 - Proceedings of the 2014 IEEE Central America and Panama Convention, CONCAPAN 2014
BT - Proceedings of the 2014 IEEE Central America and Panama Convention, CONCAPAN 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 34th IEEE Central America and Panama Convention, CONCAPAN 2014
Y2 - 12 November 2014 through 14 November 2014
ER -