som_cldist - c1(cell array size n1 x 1 indices of clusters...

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SOM Toolbox Online documentation som_cldist Cd = som_cldist(D,clinds1,clinds2,cldist,q,mask) SOM_CLDIST Distances between two clusters. Cd = som_cldist(Md,c1,c2,'single') Cd = som_cldist(Md,c1,c2,'average') Cd = som_cldist(Md,c1,c2,'complete') Cd = som_cldist(Md,c1,c2,'neighf',H) Cd = som_cldist(Md,c1,[],. ..) Cd = som_cldist(D,c1,c2,'centroid',q,mask) Cd = som_cldist(D,c1,c2,'ward',q,mask) Cd = som_cldist(D,c1,[],. ..) Input and output arguments ([]'s are optional): D (matrix) size dlen x dim, the data set (struct) map or data struct Md (matrix) size dlen x dlen, mutual distance matrix, see SOM_MDIST
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Unformatted text preview: c1 (cell array) size n1 x 1, indices of clusters from which the distances should be calculated, each cell contains indices of vectors that belong to that cluster (indices are between 1. ..dlen) c2 (cell array) size n2 x 1, same as c1 but have the clusters to which the distances should be calculated (empty) c1 is used in place of c2 [q] (scalar) distance norm, default = 2 [mask] (vector) size dim x 1, the weighting mask, a vector of ones by default H (matrix) size dlen x dlen, neighborhood function values Cd (matrix) size n1 x n2, distances between the clusters See also SOM_MDIST. [ SOM Toolbox online doc ]...
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This note was uploaded on 05/23/2010 for the course CS 245 taught by Professor Dunno during the Spring '10 term at Aarhus Universitet.

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