TY - GEN
T1 - Comparison of imputation strategies in FNM-based and RFCM-based fuzzy co-clustering
AU - Kanzawa, Yuchi
PY - 2012/12/1
Y1 - 2012/12/1
N2 - In this paper, some imputation strategies are compared in the point that the block diagonal part of the augmented dissimilarity matrix must be filled in for FNM-based and RFCM-based fuzzy co-clustering by entropy regularization, By numerical experiment, the eRFCM-based method with the minimax version of the strategy of the triangle inequality-based approximation and with higher fuzzifier parameter setting achieves the higher value of the normalized mutual information than others.
AB - In this paper, some imputation strategies are compared in the point that the block diagonal part of the augmented dissimilarity matrix must be filled in for FNM-based and RFCM-based fuzzy co-clustering by entropy regularization, By numerical experiment, the eRFCM-based method with the minimax version of the strategy of the triangle inequality-based approximation and with higher fuzzifier parameter setting achieves the higher value of the normalized mutual information than others.
UR - http://www.scopus.com/inward/record.url?scp=84877804057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877804057&partnerID=8YFLogxK
U2 - 10.1109/SCIS-ISIS.2012.6505051
DO - 10.1109/SCIS-ISIS.2012.6505051
M3 - Conference contribution
AN - SCOPUS:84877804057
SN - 9781467327428
T3 - 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
SP - 1988
EP - 1993
BT - 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
T2 - 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
Y2 - 20 November 2012 through 24 November 2012
ER -