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» Clustering and the Biclique Partition Problem
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BIBE
2005
IEEE
154views Bioinformatics» more  BIBE 2005»
14 years 2 months ago
Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions Network
In this article we present novel preprocessing techniques, based on topological measures of the network, to identify clusters of proteins from Protein-protein interaction (PPI) ne...
Duygu Ucar, Srinivasan Parthasarathy, Sitaram Asur...
ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
14 years 2 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
TNN
2010
155views Management» more  TNN 2010»
13 years 3 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 3 months ago
Non-redundant Multi-view Clustering via Orthogonalization
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy
ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
14 years 19 days ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge