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82
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TSMC
2002
88views more  TSMC 2002»
15 years 4 days ago
Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models
The construction of interpretable Takagi
János Abonyi, Robert Babuska, Ferenc Szeife...
LREC
2008
129views Education» more  LREC 2008»
15 years 1 months ago
Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Hiroyuki Shinnou, Minoru Sasaki
98
Voted
CGF
1999
79views more  CGF 1999»
15 years 6 days ago
A Practical Analysis of Clustering Strategies for Hierarchical Radiosity
The calculation of radiant energy balance in complex scenes has been made possible by hierarchical radiosity methods based on clustering mechanisms. Although clustering offers an ...
Jean-Marc Hasenfratz, Cyrille Damez, Franço...
125
Voted
SEDE
2008
15 years 1 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...
107
Voted
TCSB
2008
15 years 13 days ago
Clustering Time-Series Gene Expression Data with Unequal Time Intervals
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
Luis Rueda, Ataul Bari, Alioune Ngom