A Grid-based Approach for Convexity Analysis of a Density-based Cluster
Computational Geometry
2020-09-25 v2 Machine Learning
Abstract
This paper presents a novel geometrical approach to investigate the convexity of a density-based cluster. Our approach is grid-based and we are about to calibrate the value space of the cluster. However, the cluster objects are coming from an infinite distribution, their number is finite, and thus, the regarding shape will not be sharp. Therefore, we establish the precision of the grid properly in a way that, the reliable approximate boundaries of the cluster are founded. After that, regarding the simple notion of convex sets and midpoint convexity, we investigate whether or not the density-based cluster is convex. Moreover, our experiments on synthetic datasets demonstrate the desirable performance of our method.
Cite
@article{arxiv.1910.01492,
title = {A Grid-based Approach for Convexity Analysis of a Density-based Cluster},
author = {Sayyed-Ahmad Naghavi-Nozad},
journal= {arXiv preprint arXiv:1910.01492},
year = {2020}
}
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