Name
Title | ||
|---|---|---|
Exclusive condition on item partition in fuzzy co-clustering based on K-L information regularization |
Abstract | ||
|---|---|---|
FCCM based on K-L information regularization is an FCM-type co-clustering model, which is a fuzzy counterpart of the probabilistic Multinomial Mixture Models (MMMs). In MMMs and other FCM-type co-clustering models, whose goal is to simultaneously partition objects and items considering their mutual cooccurrence information, memberships of objects are forced to be exclusive in a similar way to FCM while item-memberships only represent the relative typicality in each cluster and are not forced to be exclusive. In this paper, a new co-clustering model is proposed by introducing the penalty for avoiding cluster overlapping in sequential fuzzy cluster extraction, which brings exclusive partition of items. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SCIS-ISIS.2014.7044636 | SCIS&ISIS |
Keywords | Field | DocType |
feature extraction,fuzzy set theory,mixture models,pattern clustering,probability,fccm,k-l information regularization,mmm,fuzzy cluster extraction,fuzzy coclustering model,item partition,probabilistic multinomial mixture model | Pattern recognition,Fuzzy classification,Computer science,Fuzzy set operations,Fuzzy logic,Regularization (mathematics),Artificial intelligence,Probabilistic logic,Biclustering,Fuzzy number,Mixture model,Machine learning | Conference |
ISSN | Citations | PageRank |
2377-6870 | 1 | 0.37 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. Honda | 1 | 145 | 12.73 |
| chihyon oh | 2 | 4 | 3.36 |
| Notsu, A. | 3 | 13 | 4.23 |