Local Centroid Paths Detection
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چکیده
This work addresses the problem of detecting local centroid paths, paths within an area of interest on a spatial network that has the highest concentration of activities. The KMR algorithm [1] is used to do clustering on the spatial network, and a new measure of the density of activities on a path, Activity Coverage Rate (ACR), is introduced to locate each such path. We use experiment results to demonstrate the importance of our work.
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