brede_mat_plot_clusterbush - Plot a hierarchy of clusters
brede_mat_plot_clusterbush(LL, RR)
Input: LL Cell array of 'mat' structures
RR Cell array of 'mat' structures
Property: FontSize [ {8} or {11} | positive integer ] Font
size of text at the top of nodes. A
suitable size may depend on Matlab
version and whether the plot is
displayed or printed.
LineColor [ {[ 0.8 0.5 1]} | 3 element vector |
scalar ] Color of dots specified as RGB
values. The values should be between 0
and 1. A value of 0.7 will produce
gray lines.
NodeColor [ {[1 1 0]} | 3 element vector | scalar ]
Color of dots specified as RGB
values. The values should be between 0
and 1. A value of 0.9 will produce a
light gray dot.
NodeOrdering [ {Right} | Left | ... ]
NodeTextType [ {Left} | LeftWTA | Right | RightWTA ]
NumberOfTexts [ {5} | Integer ] Number of text
lines on each node
Threshold [ {0.15} | real ] Threshold for the
lines between the nodes
Construct a 'cluster bush' plot suitable for a hierarchy of
matrix decompositions. The two input argument may come from,
e.g., the brede_mat_hnmf function.
'NodeTextType' is determining what text should be displayed on
top of the nodes. For 'NodeTextType'='Left' the information
from the rows in the left matrices in LL is used. For
'NodeTextType'='Right' the information from the columns in the
right matrices in RR is used. The rows and columns
corresponding to the largest values in the matrices are
used. The 'WTA' versions apply a winner-take-all function
before sorting the elemets of the matrix.
The construction of EPS files from the generated figure may not
work well if the color EPS is not constructed, i.e., "print
-depsc"
Example:
froi = fullfile(fileparts(which('brede')), 'xml', 'worois.xml');
Roi = brede_read_xml(froi, 'output', 'collapsesecond');
Bs = brede_read_xml('Nielsen2004Database.xml');
E = brede_bib_bib2exp(Bs{1}.Bib);
M = brede_exp_exp2mat(E, 'type', 'woroi', 'Roi', Roi);
M = brede_mat_scale(M, 'type', 'rowzscore');
index = find(sum(~isnan(M.matrix),1)>2);
M = brede_mat_submatrix(M, 'columns', index);
[LL,RR] = brede_mat_hkmc(M, 'assignment', 'left')
brede_mat_plot_clusterbush(LL, RR);
See also BREDE, BREDE_MAT, BREDE_PLOT, BREDE_MAT_HNMF,
BREDE_MAT_KMC, BREDE_MAT_SUBMATRIX, BREDE_UI_MAT.
$Id: brede_mat_plot_clusterbush.m,v 1.13 2008/04/10 13:31:45 fn Exp $