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» Geometric Clustering Using the Information Bottleneck Method
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CLUSTER
2002
IEEE
15 years 9 months ago
Noncontiguous I/O through PVFS
With the tremendous advances in processor and memory technology, I/O has risen to become the bottleneck in high-performance computing for many applications. The development of par...
Avery Ching, Alok N. Choudhary, Wei-keng Liao, Rob...
TVCG
2011
175views more  TVCG 2011»
14 years 11 months ago
Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping
—This paper presents a fast parallel method to solve the radiative transport equation in inhomogeneous participating media. We apply a novel approximation scheme to find a good ...
László Szirmay-Kalos, Gabor Liktor, ...
ESANN
2008
15 years 5 months ago
SOM based clustering with instance-level constraints
This paper describes a new topological map dedicated to clustering under instance-level constraints. In general, traditional clustering is used in an unsupervised manner. However,...
Fazia Bellal, Khalid Benabdeslem, Alexandre Aussem
SEDE
2008
15 years 5 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...
BMCBI
2005
190views more  BMCBI 2005»
15 years 4 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry