Using principal components for estimating logistic regression with high-dimensional multicollinear data.
Ana M. AguileraManuel EscabiasMariano J. ValderramaPublished in: Comput. Stat. Data Anal. (2006)
Keyphrases
- logistic regression
- principal components
- data sets
- high dimensional
- multivariate data
- data points
- neural network
- data analysis
- knowledge discovery
- high dimensional data
- principal component analysis
- kernel space
- naive bayes
- pattern recognition
- support vector
- input space
- classification trees
- decision trees
- data mining
- generalized linear models