NDLI: Regularized discriminative clustering

Content Provider	IEEE Xplore Digital Library
Author	Kaski, S. Sinkkonen, J. Klami, A.
Copyright Year	2003
Description	Author affiliation: Neural Network Res. Centre, Helsinki Univ. of Technol., Finland (Kaski, S.; Sinkkonen, J.; Klami, A.)
Abstract	A generative distributional clustering model for continuous data is reviewed and methods for optimizing and regularizing it are introduced and compared. Based on pairs of auxiliary and primary data, the primary data space is partitioned into Voronoi regions that are maximally homogeneous in terms of auxiliary data. Then only variation in the primary data associated with variation in the auxiliary data influences the clusters. Because the whole primary space is partitioned, new samples can be easily clustered in terms of primary data alone. In experiments, the approach is shown to produce more homogeneous clusters than alternative methods. Two regularization methods are demonstrated to further improve the results: an entropy-type penalty for unequal cluster sizes, and the inclusion of a K-means component to the model. The latter can alternatively be interpreted as special kind of joint distribution modeling where the emphasis between discrimination and unsupervised modeling of primary data can be tuned.
Starting Page	289
Ending Page	298
File Size	434041
Page Count	10
File Format	PDF
ISBN	0780381777
ISSN	10893555
DOI	10.1109/NNSP.2003.1318028
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-17
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Space technology Prototypes Neural networks Optimization methods Predictive models Data mining Bayesian methods Clustering algorithms Partitioning algorithms Smoothing methods
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	Mr. Siddhartha Mukherjee siddhartha@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	ndl-support@iitkgp.ac.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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