The DD-classifier, which has been extended to the classification of directional objects, is here investigated in the case of some new distance-based directional depths. The DD-classifier is a non-parametric techniques based on the depth vs. depth (DD) plot. Its main advantages concern the flexibility and the independence from specific distribution parameters. The new depth functions adopted here allow using them for high-dimensional directional data sets.
Distance based Depth-Depth classifier for directional data
Porzio Giovanni Camillo
2018-01-01
Abstract
The DD-classifier, which has been extended to the classification of directional objects, is here investigated in the case of some new distance-based directional depths. The DD-classifier is a non-parametric techniques based on the depth vs. depth (DD) plot. Its main advantages concern the flexibility and the independence from specific distribution parameters. The new depth functions adopted here allow using them for high-dimensional directional data sets.File in questo prodotto:
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