3 search results - page 1 / 1 » A Non-parametric Dimensionality Reduction Technique Using Gr... |
ICAPR
2005
Springer
2005
Springer
A Non-parametric Dimensionality Reduction Technique Using Gradient Descent of Misclassification Rate
13 years 10 months ago
ICONIP
2007
13 years 6 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
SADM
2010
12 years 11 months ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...