A kernel principal component analysis algorithm based on sample selection according to pseudo-eigenvalue contribution.

Xiaolin Chen Shunfang Wang Hao Zhang

Published in: MFI (2014)

Keyphrases

preprocessing
learning algorithm
k means
principal components
feature extraction
classification algorithm
data sets
machine learning
feature selection
model selection
high dimensional data
discriminant analysis
data clustering
feature subset