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Pattern classification using principal components regression

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  • Ciuiu, Daniel

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.

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File URL: http://mpra.ub.uni-muenchen.de/15360/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 15360.

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Date of creation: Jan 2008
Date of revision:
Handle: RePEc:pra:mprapa:15360

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Related research

Keywords: Principal components regression; pattern classification; k-means;

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Cited by:
  1. Ciuiu, Daniel, 2010. "Informational Criteria for the Homoscedasticity of Errors," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 231-244, July.
  2. Albu, Lucian-Liviu & Ciuiu, Daniel, 2009. "A method to evaluate composite performance indices based on variance-covariance matrix," MPRA Paper 19979, University Library of Munich, Germany, revised Aug 2009.
  3. Ciuiu, Daniel, 2008. "Pattern Classification Using Secondary Components Perceptron and Economic Applications," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(2), pages 51-66, June.

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