NDLI: Uncertainty Sampling for Constrained Cluster Ensemble

Content Provider	IEEE Xplore Digital Library
Author	Okabe, M. Yamada, S.
Copyright Year	2013
Description	Author affiliation: Digital Content & Media Sci. Res. Div., Nat. Inst. of Inf., Tokyo, Japan (Yamada, S.) \|\| Inf. & Media Center, Toyohashi Univ. of Technol., Toyohashi, Japan (Okabe, M.)
Abstract	Constrained Clustering is a framework of improving clustering performance by using a set of constraints about data pairs. Since performance of constrained clustering depends on a set of constraints to use, we need a method to select good constraints that are expected to promote clustering performance. In this paper, we propose such a method, which actively selects data pairs to be constrained by using variance of clustering iteration. This method consists of a boosting based cluster ensemble algorithm that integrates a set of clusters produced by a constrained k-means with controlled data assignment order. Experimental results show that our method outperforms clustering with random sampling method.
Starting Page	257
Ending Page	262
File Size	345949
Page Count	6
File Format	PDF
e-ISBN	9781479925292
DOI	10.1109/TAAI.2013.58
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-06
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Measurement uncertainty Active learning Clustering algorithms Training data Constrained clustering Boosting Cluster ensemble Kernel Uncertainty sampling
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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