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» Non-Linear Dimensionality Reduction
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IADIS
2008
14 years 11 months ago
Mib: Using Mutual Information for Biclustering High Dimensional Data
Most of the biclustering algorithms for gene expression data are based either on the Euclidean distance or correlation coefficient which capture only linear relationships. However...
Neelima Gupta, Seema Aggarwal
74
Voted
SGAI
2005
Springer
15 years 3 months ago
The Effect of Principal Component Analysis on Machine Learning Accuracy with High Dimensional Spectral Data
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
Tom Howley, Michael G. Madden, Marie-Louise O'Conn...
ICDE
2007
IEEE
228views Database» more  ICDE 2007»
15 years 3 months ago
A General Cost Model for Dimensionality Reduction in High Dimensional Spaces
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
Xiang Lian, Lei Chen 0002
PODS
2001
ACM
190views Database» more  PODS 2001»
15 years 9 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal