NDLI: Spectral clustering with imbalanced data

Content Provider	IEEE Xplore Digital Library
Author	Jing Qian Saligrama, V.
Copyright Year	2014
Description	Author affiliation: Boston Univ., Boston, MA, USA (Jing Qian; Saligrama, V.)
Abstract	Spectral clustering is sensitive to how graphs are constructed from data. In particular, if the data has proximal and imbalanced clusters, spectral clustering can lead to poor performance on well-known graphs such as k-NN, ϵ-neighborhood and full-RBF graphs. We propose a graph partitioning problem that seeks minimum cut partitions under minimum size constraints on clusters to deal with imbalanced data. Our approach parameterizes a family of graphs by adaptively modulating node degrees on a fixed node set, to yield a set of parameter dependent cuts reflecting varying levels of imbalance. The solution to our problem is then obtained by optimizing over these parameters. We present asymptotic limit cut analysis to justify our approach. Experiments on synthetic and real data sets demonstrate the superiority of our method.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	3057
Ending Page	3061
File Size	660497
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6854162
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clustering algorithms Partitioning algorithms Information processing Robustness Minimization Error analysis Moon RatioCut/Normalized Cut Spectral Clustering Imbalanced Data
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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