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BMCBI
2010
128views more  BMCBI 2010»
15 years 1 months ago
Conserved residue clusters at protein-protein interfaces and their use in binding site identification
Background: Biological evolution conserves protein residues that are important for structure and function. Both protein stability and function often require a certain degree of st...
Mainak Guharoy, Pinak Chakrabarti
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 4 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
CVPR
2008
IEEE
16 years 3 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
108
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BMCBI
2007
128views more  BMCBI 2007»
15 years 1 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
IJON
2008
173views more  IJON 2008»
15 years 1 months ago
Support vector machine classification for large data sets via minimum enclosing ball clustering
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li