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BMCBI
2002
195views more  BMCBI 2002»
13 years 7 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
BMCBI
2008
142views more  BMCBI 2008»
13 years 7 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
PODC
2000
ACM
13 years 11 months ago
Garbage collection of timestamped data in Stampede
Stampede is a parallel programming system to facilitate the programming of interactive multimedia applications on clusters of SMPs. In a Stampede application, a variable number of...
Rishiyur S. Nikhil, Umakishore Ramachandran
DAGSTUHL
2007
13 years 8 months ago
Multi-Aspect Tagging for Collaborative Structuring
Local tag structures have become frequent through Web 2.0: Users "tag" their data without specifying the underlying semantics. Every user annotates items in an individual...
Katharina Morik, Michael Wurst
EDM
2009
105views Data Mining» more  EDM 2009»
13 years 5 months ago
Subspace Clustering of Skill Mastery: Identifying Skills that Separate Students
Abstract. In educational research, a fundamental goal is identifying which skills students have mastered, which skills they have not, and which skills they are in the process of ma...
Rebecca Nugent, Elizabeth Ayers, Nema Dean