Hyperbolic smoothing clustering and minimum distance methods

The invention concerns four methodologies regarding the unsupervised clustering of a set of observations in multidimensional space, considering a defined number of clusters. The invention comprises a special procedure for calculating the minimum distance of a given point to a set of points in a mult...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Xavier, Vinicius Layter, Xavier, Adilson Elias
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The invention concerns four methodologies regarding the unsupervised clustering of a set of observations in multidimensional space, considering a defined number of clusters. The invention comprises a special procedure for calculating the minimum distance of a given point to a set of points in a multidimensional space, the main component of the first methodology.