NDLI: Spectral analysis of text collection for similarity-based clustering

Content Provider	IEEE Xplore Digital Library
Author	Li, W. Ng, W.-K. Lim, E.-P.
Copyright Year	2004
Description	Author affiliation: Center for Adv. Inf. Syst., Nanyang Technol. Univ., Singapore (Li, W.; Ng, W.-K.; Lim, E.-P.)
Abstract	Clustering of text collections is generally difficult due to its high dimensionality, heterogeneity, and large size. These characteristics compound the problem of determining the appropriate similarity space for clustering algorithms. Here, we propose to use the spectral analysis of the similarity space of a text collection to predict clustering behavior before actual clustering is performed. Spectral analysis is a technique that has been adopted across different domains to analyze the key encoding information of a system. Using spectral analysis for prediction is useful in first determining the quality of the similarity space and discovering any possible problems the selected feature set may present.
Sponsorship	Microsoft Res. bea IBM MITRE Sun Microsystems
File Size	245397
File Format	PDF
ISBN	0769520650
ISSN	10636382
DOI	10.1109/ICDE.2004.1320064
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-04-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spectral analysis Eigenvalues and eigenfunctions Clustering algorithms Space technology Laplace equations Graph theory Information systems Information analysis Encoding Web pages
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 Libarray 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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