Hyperbolic smoothing clustering and minimum distance methods

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...

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Hauptverfasser: Xavier, Vinicius Layter, Xavier, Adilson Elias
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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creator Xavier, Vinicius Layter
Xavier, Adilson Elias
description 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.
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title Hyperbolic smoothing clustering and minimum distance methods
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