Pattern classification using polynomial and linear regression

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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Year of publication:	2008-01
Authors:	Ciuiu, Daniel

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Type of publication:	Book / Working Paper
Language:	English
Notes:	Ciuiu, Daniel (2008): Pattern classification using polynomial and linear regression. Published in: Proceedings of International Conference Trends and Challenges in Applied Mathematics (2008): pp. 153-156.
Classification:	C51 - Model Construction and Estimation ; E51 - Money Supply; Credit; Money Multipliers ; C45 - Neural Networks and Related Topics
Source:	BASE

Persistent link: https://www.econbiz.de/10015216942