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» Boosting margin based distance functions for clustering
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CORR
2006
Springer
105views Education» more  CORR 2006»
13 years 8 months ago
Generalization error bounds in semi-supervised classification under the cluster assumption
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
Philippe Rigollet
ICASSP
2008
IEEE
14 years 3 months ago
Probabilistic framework for gene expression clustering validation based on gene ontology and graph theory
Based on the correlation between expression and ontologydriven gene similarity, we incorporate functional annotations into gene expression clustering validation. A probabilistic f...
Yinyin Yuan, Chang-Tsun Li
ICIP
2000
IEEE
14 years 1 months ago
Texture Similarity Measurement Using Kullback-Leibler Distance on Wavelet Subbands
The focus of this work is on using texture information for searching, browsing and retrieving images from a large database. In the wavelet approaches, texture is characterized by ...
Minh N. Do, Martin Vetterli
JBI
2004
171views Bioinformatics» more  JBI 2004»
13 years 10 months ago
Consensus Clustering and Functional Interpretation of Gene Expression Data
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
Paul Kellam, Stephen Swift, Allan Tucker, Veronica...
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
14 years 3 months ago
A Contrast Pattern Based Clustering Quality Index for Categorical Data
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...
Qingbao Liu, Guozhu Dong