mdsprox
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
fillprox(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
character vector or a string scalar with one letter for each color.
If there are more classes in the data than letters in the supplied
value, mdsprox plots only the first
C classes, where C is the
number of letters in the supplied value. For regression, the method
uses the first color for all observations in
X . |
'MDSCoordinates' | 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 or three indices not
exceeding the dimensionality of the scaled data. This argument has
no effect unless you also supply the 'Colors'
argument. |