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» A practical comparison of two K-Means clustering algorithms
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JISE
2010
144views more  JISE 2010»
14 years 8 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
BMCBI
2006
100views more  BMCBI 2006»
15 years 1 months ago
Towards a better solution to the shortest common supersequence problem: the deposition and reduction algorithm
Background: The problem of finding a Shortest Common Supersequence (SCS) of a set of sequences is an important problem with applications in many areas. It is a key problem in biol...
Kang Ning, Hon Wai Leong
BMCBI
2010
113views more  BMCBI 2010»
15 years 1 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
BMCBI
2007
135views more  BMCBI 2007»
15 years 1 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
CIVR
2004
Springer
121views Image Analysis» more  CIVR 2004»
15 years 6 months ago
Assessing Scene Structuring in Consumer Videos
Abstract. Scene structuring is a video analysis task for which no common evaluation procedures have been fully adopted. In this paper, we present a methodology to evaluate such tas...
Daniel Gatica-Perez, Napat Triroj, Jean-Marc Odobe...