Changeset 18 for distools


Ignore:
Timestamp:
06/15/11 15:05:46 (14 years ago)
Author:
bduin
Message:

clevald, parzenddc, parzend_map and kem added

Location:
distools
Files:
5 added
2 edited

Legend:

Unmodified
Added
Removed
  • distools/Contents.m

    r10 r18  
    5353%  Routines supporting in learning from dissimilarity matrices
    5454%  -----------------------------------------------------------------------
    55 %  CROSSVALD    Cross-validation error for dissimilarity representations
     55%  CROSSVALD    Cross-validation error for dissimilarity data
     56%  CLEVALD      Classifier evaluation (learning curve) for dissimilarity data
    5657%  DISSPACES    Compute various spaces out of a dissimilarity matrix
    5758%  GENDDAT      Generate random training and test sets for dissimilarity data
  • distools/disnorm.m

    r16 r18  
    11%DISNORM Normalization of a dissimilarity matrix
    22%
    3 %       V = disnorm(D,OPT)
     3%       V = DISNORM(D,OPT)
    44%   F = E*V
    55%
    66% INPUT
    77%   D    NxN dissimilarity matrix or dataset, which sets the norm
    8 %   E    Matrix to be normalized
     8%   E    Matrix to be normalized, e.g. D itself
    99%       OPT  'max' : maximum dissimilarity is set to 1 by global rescaling
    1010%                  'mean': average dissimilarity is set to 1 by global rescaling (default)
     
    1717%   OPT = 'mean'
    1818%
     19% DESCRIPTION
     20% Operation on dissimilarity matrices, like the computation of classifiers
     21% in dissimilarity space, may depend on the scaling of the dissimilarities
     22% (a single scalar for the entire matrix). This routine computes a scaling
     23% for a giving matrix, e.g. a training set and applies it to other
     24% matrices, e.g. the same training set or based on a test set.
    1925
    2026% Copyright: Elzbieta Pekalska, ela.pekalska@googlemail.com
     
    4147%DEFINE mapping
    4248if isstr(opt)
    43         discheck(D);
     49%       discheck(D);
    4450        opt = lower(opt);
    4551        if strcmp(opt,'mean')
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