CHICKENPIECES Dissimilarity datasets based on weighted edit distances
D = CHICKENPIECES(NORM,COST) This loads one or more of the chickenpieces dissimilarity matrices as made available by Bunke et.al. Every entry is a weighted edit distance between two strings representing the contours of 2D blobs. Contours are approximated by vectors of length NORM. Angles between vectors are used as replacement costs. The costs for insertion and deletion are given by COST. Possible values for NORM: [5 7 10 15 20 25 29 30 31 35 40] Possible values for COST: [45 60 90 120] Defaults are: load all. D is a 446*446 dissimilarity dataset of 5 classes. REFERENCEs H. Bunke, H., U. Buhler, Applications of approximate string matching to 2D shape recognition, Pattern Recognition 26 (1993) 1797-1812. B. Spillmann, Description of the Distance Matrices, Internal report, Computer Vision and Artificial Intelligence (FKI), Institute of Computer Science and Applied Mathematics, University of Bern, 2004. See alsoprtools, datasets, distools, prdisdata,
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