NDLI: Spatial Clustering with Obstacles Constraints by HPSO based on Grid

Content Provider	IEEE Xplore Digital Library
Author	Xueping Zhang Weidong Chen Gaofeng Deng Zhongshan Fan Mingwei Wang
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Henan Univ. of Technol., Zhengzhou (Xueping Zhang; Weidong Chen; Gaofeng Deng)
Abstract	Spatial clustering has been an active research area in the data mining community. Spatial clustering is not only an important effective method but also a prelude of other task for spatial data mining (SDM).In this paper, we propose a novel spatial clustering with obstacles constraints (SCOC) using an advanced hybrid particle swarm optimization (HPSO) with GA mutation based on grid model. In the process of doing so, we first developed a novel spatial obstructed distance using HPSO based on grid model (HGSOD) to obtain obstructed distance, and then we presented a new HPKSCOC based on HPSO and K-Medoids to cluster spatial data with obstacles constraints. The experimental results show that HGSOD is effective, and HPKSCOC can not only give attention to higher local constringency speed and stronger global optimum search, but also get down to the obstacles constraints and practicalities of spatial clustering; and it performs better than improved K-Medoids SCOC (IKSCOC) in terms of quantization error and has higher constringency speed than genetic K-Medoids SCOC (GKSCOC).
Starting Page	1048
Ending Page	1053
File Size	297332
Page Count	6
File Format	PDF
ISBN	9781424425020
DOI	10.1109/ICAL.2008.4636306
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Gallium Spatial clustering Obstacles Constraints Clustering algorithms Grid Hybrid Particle Swarm Optimization Distance measurement Spatial databases Partitioning algorithms Obstructed Distance Mathematical model Equations
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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