Non Negative Matrix Factorization Clustering Capabilities; Application on Multivariate Image Segmentation

Non Negative Matrix Factorization Clustering Capabilities; Application on Multivariate Image Segmentation

The clustering capabilities of the Non Negative MatrixFactorization algorithm is studied. The basis images are consideredlike the data membership degree to a particular class.A hard clustering algorithm is easily derived based on theseimages. This algorithm is applied on a multivariate image toperfo...

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Bibliographic Details
Main Authors: Cosmin Lazar, Danielle Nuzillard, Patrice Billaudel, Sorin Curila
Format: Article
Language:English
Published: Editura Universităţii din Oradea 2009-10-01
Series:Journal of Electrical and Electronics Engineering
Subjects:
Classification
metrics
non negative matrix factorization
segmentation
multivariate
Online Access:http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2009/Articole_pdf_JEEE_EL_nr_2/JEEE_2009_Nr_2_EL_Lazar_NonNegative.pdf

Internet

http://electroinf.uoradea.ro/reviste%20CSCS/documente/JEEE_2009/Articole_pdf_JEEE_EL_nr_2/JEEE_2009_Nr_2_EL_Lazar_NonNegative.pdf

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