Density Peaks Clustering Approach for Discovering Demand Hot Spots in City-scale Taxi Fleet Dataset

• Main Authors: LIU, Dongchang, CHENG, Shih-Fen, YANG, Yiping
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2015
• 主題: Artificial Intelligence and Robotics
• 在線閱讀: 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
• 機構: Singapore Management University

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...