TY - JOUR
A2 - Sessa, Salvatore
AU - Yamamoto, Takeshi
AU - Honda, Katsuhiro
AU - Notsu, Akira
AU - Ichihashi, Hidetomo
PY - 2011
DA - 2011/10/16
TI - A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data
SP - 265170
VL - 2011
AB - Relational fuzzy clustering has been developed for extracting intrinsic cluster structures of relational data and was extended to a linear fuzzy clustering model based on Fuzzy c-Medoids (FCMdd) concept, in which Fuzzy c-Means-(FCM-) like iterative algorithm was performed by defining linear cluster prototypes using two representative medoids for each line prototype. In this paper, the FCMdd-type linear clustering model is further modified in order to handle incomplete data including missing values, and the applicability of several imputation methods is compared. In several numerical experiments, it is demonstrated that some pre-imputation strategies contribute to properly selecting representative medoids of each cluster.
SN - 1687-7101
UR - https://doi.org/10.1155/2011/265170
DO - 10.1155/2011/265170
JF - Advances in Fuzzy Systems
PB - Hindawi Publishing Corporation
KW -
ER -