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AI
2005
Springer
14 years 1 months ago
Comparing Dimension Reduction Techniques for Document Clustering
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
Bin Tang, Michael A. Shepherd, Malcolm I. Heywood,...
EDBT
2006
ACM
154views Database» more  EDBT 2006»
13 years 11 months ago
Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search
Utilizing spatial index structures on secondary memory for nearest neighbor search in high-dimensional data spaces has been the subject of much research. With the potential to host...
Christoph Brochhaus, Marc Wichterich, Thomas Seidl
PAMI
2007
148views more  PAMI 2007»
13 years 7 months ago
Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique
This paper considers the problem of dimensionality reduction by orthogonal projection techniques. The main feature of the proposed techniques is that they attempt to preserve both...
Effrosini Kokiopoulou, Yousef Saad
SDM
2012
SIAM
261views Data Mining» more  SDM 2012»
11 years 10 months ago
Combining Active Learning and Dynamic Dimensionality Reduction
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Mustafa Bilgic
ICSM
2005
IEEE
14 years 1 months ago
An Empirical Comparison of Test Suite Reduction Techniques for User-Session-Based Testing of Web Applications
Automated cost-effective test strategies are needed to provide reliable, secure, and usable web applications. As a software maintainer updates an application, test cases must accu...
Sara Sprenkle, Sreedevi Sampath, Emily Gibson, Lor...