NDLI: Sparse data for document clustering

Content Provider	IEEE Xplore Digital Library
Author	Veritawati, I. Wasito, I. Mujiono
Copyright Year	2013
Description	Author affiliation: Comput. Sci., Univ. of Indonesia, Depok, Indonesia (Veritawati, I.; Wasito, I.; Mujiono)
Abstract	Document clustering which is a part of text mining framework is used to process models and real data collection of cancer documents into several groups. A vector space model of the documents based on their key phrases are formed and called sparse matrix which contains many zero values. A sparse dimensional reduction and several methods of clustering include K-means, Self Organizing and Non-negative Matrices Factorization (NMF) are applied to the data, then the results are compared. Sparse method in dimensional reduction step using Arnoldi Method provides a better result of clustering validity twice more than standard dimensional reduction result.
Sponsorship	IEEE Indonesia Sect.
Starting Page	38
Ending Page	43
File Size	469220
Page Count	6
File Format	PDF
ISBN	9781467349901
e-ISBN	9781467349925
DOI	10.1109/ICoICT.2013.6574546
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-20
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	K-means Self-organizing Arnoldi method Vectors Indexes Sparse matrices Organizing Standards Competitive learning Data models Non-negative matrices factorization Sparse Principal component analysis
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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