AbstractsStatistics
Nearest hypersphere classification : a comparison with other classification techniques
| Institution: | Stellenbosch University |
|---|---|
| Department: | Statistics and Actuarial Science |
| Degree: | MCom |
| Year: | 2014 |
| Keywords: | Statistics and actuarial science; Classification; Machine learning; Kernel functions |
| Record ID: | 1450054 |
| Full text PDF: | http://hdl.handle.net/10019.1/95839 |
Abstract
ENGLISH ABSTRACT: Classification is a widely used statistical procedure to classify objects into two or more classes according to some rule which is based on the input variables. Examples of such techniques are Linear and Quadratic Discriminant Analysis (LDA and QDA). However, classification of objects with these methods can get complicated when the number of input variables in the data become too large (
