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» Cluster Analysis of High-Dimensional Data: A Case Study
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SAC
2010
ACM
13 years 6 months ago
Optimal linear projections for enhancing desired data statistics
Problems involving high-dimensional data, such as pattern recognition, image analysis, and gene clustering, often require a preliminary step of dimension reduction before or durin...
Evgenia Rubinshtein, Anuj Srivastava
IJCNLP
2004
Springer
14 years 1 months ago
Combining Labeled and Unlabeled Data for Learning Cross-Document Structural Relationships
Multi-document discourse analysis has emerged with the potential of improving various NLP applications. Based on the newly proposed Cross-document Structure Theory (CST), this pap...
Zhu Zhang, Dragomir R. Radev
BMCBI
2005
179views more  BMCBI 2005»
13 years 7 months ago
MARS: Microarray analysis, retrieval, and storage system
Background: Microarray analysis has become a widely used technique for the study of geneexpression patterns on a genomic scale. As more and more laboratories are adopting microarr...
Michael Maurer, Robert Molidor, Alexander Sturn, J...
CSDA
2006
84views more  CSDA 2006»
13 years 8 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
GISCIENCE
2010
Springer
285views GIS» more  GISCIENCE 2010»
13 years 9 months ago
Visual Exploration of Eye Movement Data Using the Space-Time-Cube
Abstract. Eye movement recordings produce large quantities of spatiotemporal data, and are more and more frequently used as an aid to gain further insight into human thinking in us...
Xia Li, Arzu Çöltekin, Menno-Jan Kraak