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FSS
2002
99views more  FSS 2002»
14 years 9 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
ADMA
2009
Springer
121views Data Mining» more  ADMA 2009»
14 years 7 months ago
Quantitative Comparison of Similarity Measure and Entropy for Fuzzy Sets
Comparison and data analysis to the similarity measures and entropy for fuzzy sets are studied. The distance proportional value between the fuzzy set and the corresponding crisp se...
Hongmei Wang, Sanghyuk Lee, Jaehyung Kim
EUSFLAT
2009
146views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Local Models for the Analysis of Spatially Varying Relationships in a Lignite Deposit
-- Relationships between geographically referenced variables are usually spatially heterogeneous and, to account for such variations, local models are necessary. This paper compare...
Bulent Tutmez, A. Erhan Tercan, Uzay Kaymak, Chris...
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 1 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
EUSFLAT
2003
14 years 11 months ago
Using component division criterion for fuzzy system vitality analysis
In this paper a vitality analysis of fuzzy system, represented by fuzzy graph is considered. A division of fuzzy graph into components by graph edge removing is used as destructio...
Tatiana Starostina