Publication: Extracting the boundaries of clusters: A post-clustering tool for spatial datasets
No Thumbnail Available
Date
2020-04-01
Authors
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
World Scientific Publ Co Pte Ltd
Abstract
Boundary extraction is a fundamental post-clustering problem. It facilitates interpretability and usability of clustering results. Also, it provides visualization and dataset reduction. However, it has not attracted much attention compared to the clustering problem itself. In this work, we address the boundary extraction of clusters in 2- and 3-dimensional spatial datasets. We propose two algorithms based on Delaunay Triangulation (DT). Numerical experiments show that the proposed algorithms generate the cluster boundaries effectively. Also, they yield significant amounts of dataset reduction.
Description
Keywords
Defect patterns, Shape, Set, Algorithm, Points, Region, Segmentation, Computation, Border, Boundary extraction, Clustering, Data mining, Dataset reduction, Data visualization, Science & technology, Technology, Computer science, artificial intelligence
Citation
Collections
Metrikler