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» Dimensionality Reduction via Genetic Value Clustering
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IV
2000
IEEE
74views Visualization» more  IV 2000»
13 years 10 months ago
Sequence World: A Genetics Database in Virtual Reality
Proper information visualization has always been viewed as an important tool for research. Traditionally, however, it was regarded as only a tool, with information content and vis...
Igor Rojdestvenski, David Modjeska, Fredrik Petter...
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
13 years 11 months ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender
BMCBI
2006
164views more  BMCBI 2006»
13 years 5 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
ICDE
2007
IEEE
189views Database» more  ICDE 2007»
14 years 2 days ago
Integration of Motion Capture and EMG data for Classifying the Human Motions
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multijoint external movements. Electro-myograph (EMG) signals give the ...
Gaurav N. Pradhan, Navzer D. Engineer, Mihai Nadin...
CVPR
2008
IEEE
14 years 7 months ago
Large-scale manifold learning
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley