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SEDE
2008
14 years 11 months ago
Improving Fuzzy Algorithms for Automatic Magnetic Resonance Image Segmentation
: In this paper, we present reliable algorithms for fuzzy k-means and C-means that could improve MRI segmentation. Since the k-means or FCM method aims to minimize the sum of squar...
Ennumeri A. Zanaty, Sultan Aljahdali, Narayan C. D...
FSKD
2006
Springer
147views Fuzzy Logic» more  FSKD 2006»
15 years 1 months ago
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...
95
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CORR
2004
Springer
146views Education» more  CORR 2004»
14 years 9 months ago
ANTIDS: Self-Organized Ant-based Clustering Model for Intrusion Detection System
: Security of computers and the networks that connect them is increasingly becoming of great significance. Computer security is defined as the protection of computing systems again...
Vitorino Ramos, Ajith Abraham
ICIP
2005
IEEE
15 years 11 months ago
Fuzzy image segmentation of generic shaped clusters
Abstract The segmentation performance of any clustering algorithm is very sensitive to the features in an image, which ultimately restricts their generalization capability. This li...
Mohammed Ameer Ali, Gour C. Karmakar, Laurence S. ...
107
Voted
ANTSW
2004
Springer
15 years 1 months ago
Mesh-Partitioning with the Multiple Ant-Colony Algorithm
ed Abstract We present two heuristic mesh-partitioning methods, both of which build on the multiple ant-colony algorithm in order to improve the quality of the mesh partitions. The...
Peter Korosec, Jurij Silc, Borut Robic