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Title: Statistical Methods and Optimization in Data Mining
Author: Macedo, Eloísa
Freitas, Adelaide
Keywords: Principal component analysis
Data mining
Issue Date: Sep-2012
Publisher: University of Évora, Dorodnicyn Computing Centre of Russian Academy of Sciences
Abstract: The main objective of this work is to test the ability of the new tech- nique CDPCA - Clustering and Disjoint Principal Component Analysis on biological data sets to make possible visual representation of relevant characteristics for data interpretation. For this purpose, we im- plemented CDPCA in R language and conducted several experiments. Numerical results show its efficiency.
Peer review: yes
ISBN: 978–5–91601–051–0
Publisher Version:
Appears in Collections:CIDMA - Comunicações

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