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» An efficient clustering method for k-anonymization
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 6 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 6 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
AIRWEB
2006
Springer
15 years 9 months ago
Tracking Web Spam with Hidden Style Similarity
Automatically generated content is ubiquitous in the web: dynamic sites built using the three-tier paradigm are good examples (e.g. commercial sites, blogs and other sites powered...
Tanguy Urvoy, Thomas Lavergne, Pascal Filoche
CVPR
2007
IEEE
16 years 8 months ago
Multi-modal Clustering for Multimedia Collections
Most of the online multimedia collections, such as picture galleries or video archives, are categorized in a fully manual process, which is very expensive and may soon be infeasib...
Ron Bekkerman, Jiwoon Jeon
ALMOB
2006
89views more  ALMOB 2006»
15 years 6 months ago
On the maximal cliques in c-max-tolerance graphs and their application in clustering molecular sequences
Given a set S of n locally aligned sequences, it is a needed prerequisite to partition it into groups of very similar sequences to facilitate subsequent computations, such as the ...
Katharina Anna Lehmann, Michael Kaufmann, Stephan ...