Multidimensional scaling of proximity matrix
Syntax
[S,E] = mdsProx(B)
[S,E] = mdsProx(B,'param1',val1,'param2',val2,...)
Description
[S,E] = mdsProx(B) returns scaled coordinates, S,
and eigenvalues, E, for the proximity matrix in
the ensemble B. An earlier call to fillProximities(B) must
create the proximity matrix.
[S,E] = mdsProx(B,'param1',val1,'param2',val2,...) specifies
optional parameter name/value pairs:
| 'keep' | Array of indices of observations in the training data to use
for multidimensional scaling. By default, this argument
is set to 'all'. If you provide numeric or logical
indices, the method uses only the subset of the training data specified
by these indices to compute the scaled coordinates and eigenvalues. |
| 'colors' | If you supply this argument, mdsProx makes
overlaid scatter plots of two scaled coordinates using specified colors
for different classes. You must supply the colors as a string with
one character for each color. If there are more classes in the data
than characters in the supplied string, mdsProx only
plots the first C classes, where C is
the length of the string. For regression or if you do not provide
the vector of true class labels, the method uses the first color for
all observations in X. |
| 'mdscoords' | Indices of the two scaled coordinates to plot. By default, mdsProx makes
a scatter plot of the first and second scaled coordinates which correspond
to the two largest eigenvalues. You can specify any other two indices
not exceeding the dimensionality of the scaled data. This argument
has no effect unless you also supply the 'colors' argument. |
See Also
cmdscale, CompactTreeBagger.mdsProx, fillProximities
 | mdsProx (CompactTreeBagger) | | median (ProbDistUnivKernel) |  |
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