| zongker
ZONGKER
Dissimilarity dataset.
D = ZONGKER(TYPE)
| Input | | TYPE | String defining type of S, either 'sim' (similarity, original data) or 'dis' (dissimilarity, default) |
These similarities between 2000 handwritten digits in 10 classes are based on deformable template matching. The dissimilarity measure is the result of an iterative optimization of the non-linear deformation of the grid, see the study by Jain and Zongker. The data has been made available by them to Pekalska who used it in slightly modified version (symmetrized dissimilarities) in several studies.
The original similarities S are transformed to dissimilarities D is by D = S*DISSIMT('sim2dis'). Reference(s)A.K. Jain and D. Zongker, Representation and recognition of handwritten digits using deformable templates, PAMI, vol. 19, no. 12, 1997, 1386-1391.
E. Pekalska and R.P.W. Duin, The Dissimilarity Representation for Pattern Recognition, Foundations and Applications, World Scientific, Singapore, 2005. See also
prtools, datasets, prdisdata, dissimt, | This file has been automatically generated. If badly readable, use the help-command in Matlab. |
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