A DATA CLUSTERING ALGORITHM WITH TOLERANCE RELATION
DOI:
https://doi.org/10.37569/DalatUniversity.3.2.248(2013)Keywords:
Clustering, Spatial Databases, Tolerance Relation, Tolerance Set.Abstract
In this paper, w e present a data clustering method based on tolerance relation. The connectivity relation between objects, which is formed from tolerance sets, is a kind of equivalent relation of space partitions into several pairwise disjoint sets, called equivalent classes. Each cl ass contains objects which are considered equivalent only if they are connected. This is the basic idea of proposed clustering algorithm. Our method can discover clusters of arbitrary shapes even if they are not in a high density.
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Published
30-06-2013
Volume and Issues
Section
Natural Sciences and Technology
Copyright & License
Copyright (c) 2013 Nguyễn Văn Phúc, Trần Tuấn Minh
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
Phúc, N. V., & Minh, T. T. (2013). A DATA CLUSTERING ALGORITHM WITH TOLERANCE RELATION. Dalat University Journal of Science, 3(2), 32-43. https://doi.org/10.37569/DalatUniversity.3.2.248(2013)
