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Unformatted text preview: distances, the distance from each vector to each other vector can be given here, size dlen x dlen. For example PDIST function can be used to calculate the distances: Dist = squareform(pdist(D,'mahal')); P (matrix) size dlen x odim, the projections The output dimension must be 2 or higher but (naturally) lower than data set dimension. The mode argument determines the end condition for iteration. If the mode argument is used, also the value argument has to be specified. Different mode possibilities are: 'steps' the iteration is terminated when it is run 'errlimit' steps, the iteration is terminated when projection error is lower than , 'errchange' the iteration is terminated when change between projection error on two successive iteration rounds is less than percent of total error, and 'seconds' the iteration is terminated after seconds of iteration. See also CCA, PCAPROJ, SOM_GRID. [ SOM Toolbox online doc ]...
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- Spring '10
- Machine Learning