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CORR
2011
Springer
154views Education» more  CORR 2011»
12 years 8 months ago
A Fuzzy View on k-Means Based Signal Quantization with Application in Iris Segmentation
— This paper shows that the k-means quantization of a signal can be interpreted both as a crisp indicator function and as a fuzzy membership assignment describing fuzzy clusters ...
Nicolaie Popescu-Bodorin
AIRS
2005
Springer
13 years 7 months ago
Fuzzy Post-clustering Algorithm for Web Search Engine
Abstract. We propose a new clustering algorithm satisfying requirements for the post-clustering algorithms as many as possible. The proposed “Fuzzy Concept ART” is the form of ...
Younghee Im, Jiyoung Song, Daihee Park
FSS
2002
99views more  FSS 2002»
13 years 4 months ago
Extreme physical information and objective function in fuzzy clustering
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Michel Ménard, Michel Eboueya
FSKD
2008
Springer
146views Fuzzy Logic» more  FSKD 2008»
13 years 6 months ago
A Collaborative Filtering Algorithm Based on Rough Set and Fuzzy Clustering
DanEr Chen, YuLong Ying, SongJie Gong
IADIS
2008
13 years 6 months ago
Fuzzy Association Rule Reduction Using Clustering In Som Neural Network
The major drawback of fuzzy data mining is that after applying fuzzy data mining on the quantitative data, the number of extracted fuzzy association rules is very huge. When many ...
Marjan Kaedi, Mohammad Ali Nematbakhsh, Nasser Gha...