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Pattern classification using polynomial and linear regression

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Author Info
Ciuiu, Daniel

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Abstract

In this paper we will classify patterns using an algorithm analogous to the k-means algorithm and the regression polynomial of the degree k (for instance, if k=1 we obtain the regression line, and if k=2 we obtain the regression parable), and the regression hyper-plane. We will also present a financial application in which we apply these regressions if the points represent the interests for accounts with different terms.

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File URL: http://mpra.ub.uni-muenchen.de/15355/
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 15355.

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Date of creation: Jan 2008
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Handle: RePEc:pra:mprapa:15355

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Related research
Keywords: Regression; pattern classification; k-means;

Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

Cited by:
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  1. Ciuiu, Daniel, 2008. "On Jarque-Bera normality test," Working Papers of Macroeconomic Modelling Seminar 081802, Institute for Economic Forecasting. [Downloadable!]
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