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» A cluster validity framework for genome expression data
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CVPR
2012
IEEE
11 years 9 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
BMCBI
2010
156views more  BMCBI 2010»
13 years 7 months ago
Comparative classification of species and the study of pathway evolution based on the alignment of metabolic pathways
Background: Pathways provide topical descriptions of cellular circuitry. Comparing analogous pathways reveals intricate insights into individual functional differences among speci...
Adi Mano, Tamir Tuller, Oded Béjà, R...
PKDD
2000
Springer
107views Data Mining» more  PKDD 2000»
13 years 11 months ago
Expert Constrained Clustering: A Symbolic Approach
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
Fabrice Rossi, Frédérick Vautrain
PAMI
2010
192views more  PAMI 2010»
13 years 5 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens