Title :
Time dependency of fuzzy clustering model
Author :
Sato, Mika ; Sato, Yoshiharu
Author_Institution :
Inst. of Policy & Planning Sci., Tsukuba Univ., Japan
Abstract :
We propose the additive fuzzy clustering model which relaxes the condition of an object belonging to the clusters in the additive clustering (ADCLUS) model. We consider an additive clustering model for longitudinal asymmetric three-way data. In this case, weights are introduced each time to show the salience of each cluster and the time dependencies
Keywords :
fuzzy set theory; pattern recognition; ADCLUS; additive fuzzy clustering model; fuzzy clustering model; longitudinal asymmetric three-way data; time dependency; weights; Solids; Tiles;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672735
