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 / Pandolfo, Giuseppe; Giovanni C., Porzio. - (2018), pp. 1-4. (Intervento presentato al convegno SIS 2018 - 49th Scientific Meeting of the Italian Statistical Society tenutosi a Palermo nel 20-22 June 2018).
Distance based Depth-Depth classifier for directional data
PANDOLFO, GIUSEPPE
;
2018
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
