Density-Based Clustering with Geographical Background Constraints Using a Semantic Expression Model

Density-Based Clustering with Geographical Background Constraints Using a Semantic Expression Model

A semantics-based method for density-based clustering with constraints imposed by geographical background knowledge is proposed. In this paper, we apply an ontological approach to the DBSCAN (Density-Based Geospatial Clustering of Applications with Noise) algorithm in the form of knowledge represent...

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Bibliographic Details
Main Authors: Qingyun Du, Zhi Dong, Chudong Huang, Fu Ren
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:ISPRS International Journal of Geo-Information
Subjects:
ontologies
geospatial clustering
geospatial data mining
semantic constraints
DBSCAN
Online Access:http://www.mdpi.com/2220-9964/5/5/72

Internet

http://www.mdpi.com/2220-9964/5/5/72

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