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» Algorithms for Finding Gene Clusters
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128
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BMCBI
2008
167views more  BMCBI 2008»
15 years 2 months ago
Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
Michael Gormley, Aydin Tozeren
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 3 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan
ICDM
2008
IEEE
90views Data Mining» more  ICDM 2008»
15 years 9 months ago
Finding Alternative Clusterings Using Constraints
1 The aim of data mining is to find novel and actionable insights. However, most algorithms typically just find a single explanation of the data even though alternatives could e...
Ian Davidson, Zijie Qi
137
Voted
BMCBI
2008
122views more  BMCBI 2008»
15 years 2 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
120
Voted
ICS
2010
Tsinghua U.
16 years 9 hour ago
Local Algorithms for Finding Interesting Individuals in Large Networks
: We initiate the study of local, sublinear time algorithms for finding vertices with extreme topological properties -- such as high degree or clustering coefficient -- in large so...
Mickey Brautbar, Michael Kearns