NDLI: Predictive Subspace Clustering

Content Provider	IEEE Xplore Digital Library
Author	McWilliams, B. Montana, G.
Copyright Year	2011
Abstract	The problem of detecting clusters in high-dimensional data is increasingly common in machine learning applications, for instance in computer vision and bioinformatics. Recently, a number of approaches in the field of subspace clustering have been proposed which search for clusters in subspaces of unknown dimensions. Learning the number of clusters, the dimension of each subspace, and the correct assignments is a challenging task, and many existing algorithms often perform poorly in the presence of subspaces that have different dimensions and possibly overlap, or are otherwise computationally expensive. In this work we present a novel approach to subspace clustering that learns the numbers of clusters and the dimensionality of each subspace in an efficient way. We assume that the data points in each cluster are well represented in low-dimensions by a PCA model. We propose a measure of predictive influence of data points modelled by PCA which we minimise to drive the clustering process. The proposed predictive subspace clustering algorithm is assessed on both simulated data and on the popular Yale faces database where state-of-the-art performance and speed are obtained.
Starting Page	247
Ending Page	252
File Size	548384
Page Count	6
File Format	PDF
ISBN	9781457721342
DOI	10.1109/ICMLA.2011.117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Presses subspace clustering Clustering algorithms predictive clustering Predictive models Prediction algorithms Data models Vectors Principal component analysis PCA
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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