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COMPGEOM
2011
ACM
14 years 10 months ago
Persistence-based clustering in riemannian manifolds
We present a clustering scheme that combines a mode-seeking phase with a cluster merging phase in the corresponding density map. While mode detection is done by a standard graph-b...
Frédéric Chazal, Leonidas J. Guibas,...
TCBB
2011
15 years 1 months ago
Data Mining on DNA Sequences of Hepatitis B Virus
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
Kwong-Sak Leung, Kin-Hong Lee, Jin Feng Wang, Eddi...
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
14 years 1 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li
ESWA
2011
237views Database» more  ESWA 2011»
15 years 1 months ago
Mining the optimal clustering of people's characteristics of health care choices
In Asian countries, it has been a multi-choice environment of health care for a long time. However, especially in Taiwan, people’s multiple health care seeking behavior has resu...
Chieh-Yu Liu, Jih-Shin Liu
BMCBI
2004
158views more  BMCBI 2004»
15 years 6 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...