26 search results - page 1 / 6 » Automatic Choice of Dimensionality for PCA |
NIPS
2000
13 years 6 months ago
2000
A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...
CSDA
2008
13 years 5 months ago
2008
An important problem in principal component analysis (PCA) is the estimation of the correct number of components to retain. PCA is most often used to reduce a set of observed vari...
ESANN
2007
13 years 6 months ago
2007
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
ROBOCUP
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. This paper proposes a new algorithm for the automatic segmentation of motion data from a humanoid soccer playing robot that allows feedforward neural networks to generali...
CSDA
2006
13 years 5 months ago
2006
Most dimension reduction techniques produce ordered coordinates so that only the first few coordinates need be considered in subsequent analyses. The choice of how many coordinate...