Sciweavers

Share
PAKDD
2005
ACM

Covariance and PCA for Categorical Variables

10 years 9 months ago
Covariance and PCA for Categorical Variables
Covariances from categorical variables are defined using a regular simplex expression for categories. The method follows the variance definition by Gini, and it gives the covariance as a solution of simultaneous equations using the Newton method. The calculated results give reasonable values for test data. A method of principal component analysis (RS-PCA) is also proposed using regular simplex expressions, which allows easy interpretation of the principal components.
Hirotaka Niitsuma, Takashi Okada
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where PAKDD
Authors Hirotaka Niitsuma, Takashi Okada
Comments (0)
books