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» An overview of clustering methods
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NIPS
2004
13 years 10 months ago
Limits of Spectral Clustering
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...
BIOINFORMATICS
2004
99views more  BIOINFORMATICS 2004»
13 years 8 months ago
EST clustering error evaluation and correction
Motivation: The gene expression intensity information conveyed by (EST) Expressed Sequence Tag data can be used to infer important cDNA library properties, such as gene number and...
Ji-Ping Z. Wang, Bruce G. Lindsay 0002, James Leeb...
PRICAI
2010
Springer
13 years 7 months ago
Multi-manifold Clustering
Manifold clustering, which regards clusters as groups of points around compact manifolds, has been realized as a promising generalization of traditional clustering. A number of lin...
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
BMCBI
2006
126views more  BMCBI 2006»
13 years 9 months ago
Effect of data normalization on fuzzy clustering of DNA microarray data
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
Seo Young Kim, Jae Won Lee, Jong Sung Bae
BIBM
2008
IEEE
107views Bioinformatics» more  BIBM 2008»
14 years 3 months ago
Multiway Clustering for Creating Biomedical Term Sets
We present an EM-based clustering method that can be used for constructing or augmenting ontologies such as MeSH. Our algorithm simultaneously clusters verbs and nouns using both ...
Vasileios Kandylas, Lyle H. Ungar, Ted Sandler, Sh...