Density Peaks Clustering Approach for Discovering Demand Hot Spots in City-scale Taxi Fleet Dataset
In this paper, we introduce a variant of the density peaks clustering (DPC) approach for discovering demand hot spots from a low-frequency, low-quality taxi fleet operational dataset. From the literature, the DPC approach mainly uses density peaks as features to discover potential cluster centers, a...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2015
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2930 https://ink.library.smu.edu.sg/context/sis_research/article/3930/viewcontent/10.1109_ITSC.2015.297.pdf |
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| Institution: | Singapore Management University |
| Language: | English |