Linear classifier, least-squares cost function, and outliers
Data Analysis, Statistics and Probability
2022-01-10 v2 Machine Learning
Machine Learning
Abstract
A set of introductory notes on the subject of data classification using a linear classifier and least-squares cost function, and the negative effect of the presence of outliers on the decision boundary of the linear discriminant. We also show how a simple scaling could make the outlier less significant, thereby obtaining a much better decision boundary. We present some numerical results.
Cite
@article{arxiv.1808.09222,
title = {Linear classifier, least-squares cost function, and outliers},
author = {Babatunde M. Ayeni},
journal= {arXiv preprint arXiv:1808.09222},
year = {2022}
}
Comments
8 pgs, 5 figures