Work

Linear classifier, least-squares cost function, and outliers

Year: 2018
Type: preprint
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.
Language: English
Open Access status: green
OpenAlex ID: W4289670368
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