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Sweep-Hyperplane Clustering Algorithm Using Dynamic Model

Published in Informatica • Jan 1, 2014
Authors:
Niko Lukač
,
Borut Žalik
,
Krista Rizman Žalik

Abstract

Clustering is one of the better known unsupervised learning methods with the aim of discovering structures in the data. This paper presents a distance-based Sweep-Hyperplane Clustering Algorithm (SHCA), which uses sweep-hyperplanes to quickly locate each point’s approximate nearest neighbourhood. Fu...

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