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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
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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