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» A Genetic Algorithm for Clustering on Very Large Data Sets
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BMCBI
2008
138views more  BMCBI 2008»
13 years 9 months ago
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
CVPR
2004
IEEE
14 years 10 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
BMCBI
2010
134views more  BMCBI 2010»
13 years 9 months ago
R-Gada: a fast and flexible pipeline for copy number analysis in association studies
Background: Genome-wide association studies (GWAS) using Copy Number Variation (CNV) are becoming a central focus of genetic research. CNVs have successfully provided target genom...
Roger Pique-Regi, Alejandro Cáceres, Juan R...
IDEAL
2004
Springer
14 years 2 months ago
The Application of K-Medoids and PAM to the Clustering of Rules
Abstract. Earlier research has resulted in the production of an ‘allrules’ algorithm for data-mining that produces all conjunctive rules of above given confidence and coverage...
Alan P. Reynolds, Graeme Richards, Victor J. Raywa...
PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
14 years 2 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle