Spatial data mining application based on ant colony algorithm and FCM for region traffic network evaluation

Wei Wang; Peng Wang; Wei Qi; Bo Zhang; Quan Wang

doi:10.1117/12.815828

29 December 2008 Spatial data mining application based on ant colony algorithm and FCM for region traffic network evaluation

Wei Wang, Peng Wang, Wei Qi, Bo Zhang, Quan Wang

Author Affiliations +

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72853Y (2008) https://doi.org/10.1117/12.815828
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

The spatial data in GIS-T database is huge and complicated, discovery knowledge from this database is very important, region traffic network evaluation is one of the important contents. In this paper the author referred to an integrated algorithm combined Ant colony algorithm with FCM to cluster the traffic data of 15 regions of Hubei Province, then used the method of maximizing deviation to arrange the clustering result. From the result we can evaluate the traffic conditions of the 15 regions.

Citation Download Citation

Wei Wang, Peng Wang, Wei Qi, Bo Zhang, and Quan Wang "Spatial data mining application based on ant colony algorithm and FCM for region traffic network evaluation", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853Y (29 December 2008); https://doi.org/10.1117/12.815828

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