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» On the Optimality of the Dimensionality Reduction Method
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COLING
2010
14 years 4 months ago
Dimensionality Reduction for Text using Domain Knowledge
Text documents are complex high dimensional objects. To effectively visualize such data it is important to reduce its dimensionality and visualize the low dimensional embedding as...
Yi Mao, Krishnakumar Balasubramanian, Guy Lebanon
PKDD
2004
Springer
116views Data Mining» more  PKDD 2004»
15 years 2 months ago
Random Matrices in Data Analysis
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...
Dimitris Achlioptas
SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
14 years 11 months ago
On Point Sampling Versus Space Sampling for Dimensionality Reduction
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
Charu C. Aggarwal
ICML
2008
IEEE
15 years 10 months ago
Dirichlet component analysis: feature extraction for compositional data
We consider feature extraction (dimensionality reduction) for compositional data, where the data vectors are constrained to be positive and constant-sum. In real-world problems, t...
Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha