lyngby_km_plot_dist

(export/lyngby/lyngby_km_plot_dist.m)

Function Synopsis

lyngby_km_plot_dist(assign, centersim) 

Help text

 lyngby_km_plot_dist  - Plot summary of cluster center similarity

       function lyngby_km_plot_dist(assign, centersim)

       Input:  assign       Assignment vector
               centersim    Cluster center similarity vector

       Plot the cluster center similarity with a boxplot. The extreme
       limits in the box plot are the minimum and maximum, the middle
       the mean and the limits of the box are the standard deviation.

       Example:
         load iris.txt
         [centers, assign] = lyngby_km_main(iris, 'type', 'mean', 
            'standardization', 'std', 'clusters', 3, 'init', 'random');
         centersim = lyngby_km_centersim(iris, centers, assign,
            'similarity', 'corrcoef');
         lyngby_km_plot_dist(assign, centersim)

       Ref: Balslev et al. (2002), Hum Brain Mapp 15:135+, figure 5.

       See also LYNGBY, LYNGBY_KM_MAIN, LYNGBY_KM_CENTERSIM,
                LYNGBY_KM_PLOT_SCAT, LYNGBY_PLOT_BOXPLOT. 

 $Id: lyngby_km_plot_dist.m,v 1.2 2003/01/30 11:50:48 fnielsen Exp $

Cross-Reference Information

lyngby_plot_boxplotexport/lyngby/lyngby_plot_boxplot.m

lyngby_ui_view_kmexport/lyngby/lyngby_ui_view_km.m