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» Logic-oriented fuzzy clustering
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PRL
1998
132views more  PRL 1998»
13 years 9 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 9 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
ICMCS
2005
IEEE
100views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Fuzzy image segmentation using shape information
Results of any clustering algorithm are highly sensitive to features that limit their generalization and hence provide a strong motivation to integrate shape information into the ...
Mohammed Ameer Ali, Gour C. Karmakar, Laurence S. ...
FSKD
2008
Springer
136views Fuzzy Logic» more  FSKD 2008»
13 years 11 months ago
k-Anonymity via Clustering Domain Knowledge for Privacy Preservation
Preservation of privacy in micro-data release is a challenging task in data mining. The k-anonymity method has attracted much attention of researchers. Quasiidentifier is a key co...
Taiyong Li, Changjie Tang, Jiang Wu, Qian Luo, She...
ESWA
2008
116views more  ESWA 2008»
13 years 10 months ago
The application of clustering analysis for the critical areas on TFT-LCD panel
For thin film transistor-liquid crystal displays (TFT-LCD) factories in Taiwan, yield performance had become as an important competitiveness determinant during the competitive env...
Kun-Lin Hsieh