MFEATDIS

Dissimilarity matrices from MFEAT dataset

    D = MFEATDIS(N)
    D = MFEATDIS(S)

   INPUT
     N Integer scalar or vector 1:6 determining desired dataset
     S String or string array with dataset names
          1 or 'KAR' - MFEAT_KAR
          2 or 'FOU' - MFEAT_FOU
          3 or 'FAC' - MFEAT_FAC
          4 or 'PIX' - MFEAT_PIX
          5 or 'ZER' - MFEAT_ZER
          6 or 'MOR' - MFEAT_MOR

   OUTPUT
     D Dataset with dissimilarity matrix of desired dataset. If N is a
          vector D is a cell array of similarity matrices.
          They are 2000 x 2000 as they are build form a 10-class problem
          with 200 objects per class.

Description

This routine loads the desired dataset(s) from PRDataSets (which should  be in the path) and computes the Euclidean distance matrix. The six  matrices are aligned: they refer to the same objects in the same order.

See also

prtools, datasets, prdatasets, distools, prdisdata, mfeat,