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» Extreme physical information and objective function in fuzzy...
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CBMS
2004
IEEE
13 years 8 months ago
Integrating Intensity and Boundary Information for Tissue Classification
A new algorithm is proposed for performing unsupervised tissue classification in medical images by integrating conventional clustering techniques with edge-adaptive segmentation t...
Dzung L. Pham
NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 4 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
JUCS
2010
176views more  JUCS 2010»
13 years 3 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying
BMCBI
2006
119views more  BMCBI 2006»
13 years 5 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
COMPUTER
1998
131views more  COMPUTER 1998»
13 years 4 months ago
Windows NT Clustering Service
ER ABSTRACTIONS ter service uses several abstractions— including resource, resource dependencies, and resource groups—to simplify both the cluster service itself and user-visib...
Rod Gamache, Rob Short, Mike Massa