NDLI: Image clustering using local discriminant model and two-dimensional PCA features

Content Provider	IEEE Xplore Digital Library
Author	Ahmed, N. Jalil, A.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. & Inf. Sci., PIEAS, Islamabad, Pakistan (Ahmed, N.; Jalil, A.)
Abstract	Recently, local learning based image clustering model was proposed that utilized discriminant analysis. In local discriminant model and global integration (LDMGI) model, local discriminant model was developed to evaluate image clustering at local level, and the optimal image features were obtained using image interpolation approach. We performed further image feature reduction through two-dimensional PCA (2DPCA) by extracting significant eigenvectors of the image dataset. Because, by projecting image features in principal component analysis (PCA) space, we can remove principal components of scatter matrices with small eigenvalues. Due to which, LDMGI model is more effective and efficient. We evaluated the performance of proposed 2DPCA-LDMGI image clustering model using 10 benchmark image datasets, and report significant overall performance improvement over previous LDMGI model. Further, 2DPCA-LDMGI is computationally efficient on all image datasets and overall computational cost is reduced to more than half as compared with LDMGI model.
Starting Page	145
Ending Page	149
File Size	291894
Page Count	5
File Format	PDF
ISBN	9781479923199
DOI	10.1109/IBCAST.2014.6778137
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-14
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling two-dimensional PCA Feature extraction Vectors Eigenvalues and eigenfunctions image features Matrix decomposition local discriminant model Covariance matrices image clustering Principal component analysis
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
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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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