TY - JOUR
T1 - One-hot vector hybrid associative classifier for medical data classification
AU - Uriarte-Arcia, Abril Valeria
AU - López-Yáñez, Itzamá
AU - Yáñez-Márquez, Cornelio
PY - 2014/4/21
Y1 - 2014/4/21
N2 - Pattern recognition and classification are two of the key topics in computer science. In this paper a novel method for the task of pattern classification is presented. The proposed method combines a hybrid associative classifier (Clasificador Híbrido Asociativo con Traslación, CHAT, in Spanish), a coding technique for output patterns called one-hot vector and majority voting during the classification step. The method is termed as CHAT One-Hot Majority (CHAT-OHM). The performance of the method is validated by comparing the accuracy of CHAT-OHM with other well-known classification algorithms. During the experimental phase, the classifier was applied to four datasets related to the medical field. The results also show that the proposed method outperforms the original CHAT classification accuracy.
AB - Pattern recognition and classification are two of the key topics in computer science. In this paper a novel method for the task of pattern classification is presented. The proposed method combines a hybrid associative classifier (Clasificador Híbrido Asociativo con Traslación, CHAT, in Spanish), a coding technique for output patterns called one-hot vector and majority voting during the classification step. The method is termed as CHAT One-Hot Majority (CHAT-OHM). The performance of the method is validated by comparing the accuracy of CHAT-OHM with other well-known classification algorithms. During the experimental phase, the classifier was applied to four datasets related to the medical field. The results also show that the proposed method outperforms the original CHAT classification accuracy.
UR - http://www.scopus.com/inward/record.url?scp=84899700584&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0095715
DO - 10.1371/journal.pone.0095715
M3 - Artículo
C2 - 24752287
SN - 1932-6203
VL - 9
JO - PLoS ONE
JF - PLoS ONE
IS - 4
M1 - e95715
ER -