Classifiers for the construction of complex objects in multidimensional spaces

Abstract

Classifiers for the construction of complex objects in multidimensional spaces

A.M. Krasheninnikov, N.I. Gdanskiy, M.L. Rysin

Incoming article date: 15.04.2013

Is devoted to the actual problem of constructing classifiers objects given by a point in a multidimensional space of feature values. The principle of linear normal classification of objects in multi-dimensional space of attributes can be used to build a classifier in the case of many complex structures, in general, are inseparable one hyperplane. In such cases, proposed to use a set of hierarchically related normal separating hyperplanes, which is called the normal hierarchical classifier.

Keywords: recognition, classification, feature space, the geometric method