Pattern classification using principal components regression

Ciuiu, Daniel (2008): Pattern classification using principal components regression. Published in: Proceedings of International Conference Trends and Challenges in Applied Mathematics (2008): pp. 149-152.

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: Principal components regression, pattern classification, k-means
• Subjects: C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation; E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E51 - Money Supply ; Credit ; Money Multipliers; C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C45 - Neural Networks and Related Topics

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