2017 | OriginalPaper | Chapter
4. Inter-Class Boundaries: Linear and Polynomial Classifiers
Published in:
An Introduction to Machine Learning
Abstract
When representing the training examples with points in an n-dimensional instance space, we may realize that positive examples tend to be clustered in regions different from those occupied by negative examples. This observation motivates yet another approach to classification.