Multivariate Data Classification Using the Distribution Mapping Exponent

An exponent similar to the correlation dimension is introduced. This exponent is used for probability density estimation in high-dimensional spaces and for classification of multivariate data. It is also shown that this classifier exhibits significantly better behavior (classification accuracy) than other kinds of classifiers.