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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