NDLI: Clustering spatial data when facing physical constraints

Content Provider	IEEE Xplore Digital Library
Author	Zaiane, O.R. Chi-Hoon Lee
Copyright Year	2002
Description	Author affiliation: Alberta Univ., Edmonton, Alta., Canada (Zaiane, O.R.; Chi-Hoon Lee)
Abstract	Clustering spatial data is a well-known problem that has been extensively studied to find hidden patterns or meaningful sub-groups and has many applications such as satellite imagery, geographic information systems, medical image analysis, etc. Although many methods have been proposed in the literature, very few have considered constraints such that physical obstacles and bridges linking clusters may have significant consequences on the effectiveness of the clustering. Taking into account these constraints during the clustering process is costly, and the effective modeling of the constraints is of paramount importance for good performance. In this paper we define the clustering problem in the presence of constraints - obstacles and crossings - and investigate its efficiency and effectiveness for large databases. In addition, we introduce a new approach to model these constraints to prune the search space and reduce the number of polygons to test during clustering. The algorithm DBCluC we present detects clusters of arbitrary shape and is insensitive to noise and the input order Its average running complexity is O(NlogN) where N is the number of data objects.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Pattern Analysis & Machine Intelligence (TCPAMI) IEEE Comput. Soc. Tech. Committee on Computational Intelligence (TCCI)
Starting Page	737
Ending Page	740
File Size	290183
Page Count	4
File Format	PDF
ISBN	0769517544
DOI	10.1109/ICDM.2002.1184042
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-09
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Geographic Information Systems Biomedical imaging Image analysis Bridges Joining processes Databases Testing Clustering algorithms Object detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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