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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10016/3419
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| Title: | Clustering and classifying images with local and global variability |
| Author(s): | Giuliodori, Andrea
Lillo, Rosa E.
Peña, Daniel |
| Publisher: | Universidad Carlos III de Madrid. Departamento de Estadística |
| Issued date: | Jan-2009 |
| URI: | http://hdl.handle.net/10016/3419 |
| Abstract: | A procedure for clustering and classifying images determined by three classification variables is presented. A measure of global variability based on the singular value decomposition of the image matrices, and two average measures of local variability based on spatial correlation and spatial changes. The performance of the procedure is compared using three different databases. |
| Serie / Nº.: | UC3M Working papers. Statistics and Econometrics
09-01 |
| Keywords: | Images
Cluster
Classification |
| Appears in Collections: | DES - Working Papers. Statistics and Econometrics. WS
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