Pattern classification using principal components regression
Daniel Ciuiu
MPRA Paper from University Library of Munich, Germany
Abstract:
In this paper we will classify patterns using an algorithm analogous to the k-means algorithm and the principal components regression (PCR). We will also present a financial application in which we apply PCR if the points represent the interests for accounts with different terms.
Keywords: Principal components regression; pattern classification; k-means (search for similar items in EconPapers)
JEL-codes: C45 C51 E51 (search for similar items in EconPapers)
Date: 2008-01
New Economics Papers: this item is included in nep-ecm
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Published in Proceedings of International Conference Trends and Challenges in Applied Mathematics (2008): pp. 149-152
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/15360/1/MPRA_paper_15360.pdf original version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:15360
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().