NDLI: Mixture Modeling and Information Criteria for Discovering Patterns in Continuous Data

Content Provider	IEEE Xplore Digital Library
Author	Fonseca, J.R.
Copyright Year	2008
Description	Author affiliation: Tech. Univ. of Lisbon, Lisbon (Fonseca, J.R.)
Abstract	This study addresses the adequacy of some theoretical information criteria when using finite mixture modelling on discovering patterns in continuous data. In fact, the selection of an adequate number of clusters is a key issue in deriving complex mixture structures and it is desirable that information criteria used for this end are effective. In order to select among several information criteria, which may support the selection of the correct number of clusters, we conduct a simulation study that is intended to determine which information criteria are more appropriate for mixture model selection when considering data sets with only continuous clustering base variables. As a result, the criterion BIC shows a better performance, that is, it indicates the correct number of the simulated cluster structures more often, when referring to mixtures of continuous clustering base variables.
Starting Page	543
Ending Page	548
File Size	261077
Page Count	6
File Format	PDF
ISBN	9780769533261
DOI	10.1109/HIS.2008.32
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-10
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Simulation experiments Computational modeling Quantitative Methods Estimation Probability Size measurement Finite Mixture Models Patterns in Continuous Data Continuous Clustering Base Variables Clustering algorithms Model Selection Data models Theoretical Information Criteria
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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