plotClasses#

Purpose#

Plots classes after classification.

Format#

plotClasses(data, label[, myplot])#

Parameters:

data (Nx2 matrix) – First column is x-axis, the second is y-axis.
label (Nx1 vector) – The corresponding label for each row.
myplot (Structure) – An instance of the plotControl structure used for formatting the plot.

Examples#

 new;
 library gml;
 rndseed 234234;

 /*
 ** Load data and prepare data
 */
 fname = getGAUSSHome("pkgs/gml/examples/iris.csv");
 X = loadd(fname, ". - species");

 // Split data into X_train and X_test
 { X_train, X_test } = splitData(X, 0.70);

 /*
 ** Train model
 */
 // Number of clusters
 n_clusters = 3;

 // Declare kmeansModel struct to
 // hold the results from 'kmeansFit'
 struct kmeansModel mdl;

 // Fit kmeans model to training set
 mdl = kmeansFit(X_train , n_clusters);

/*
** Test model
*/
test_clusters = kmeansPredict(mdl, X_test);

/*
** Plot Classes
*/
plotClasses(X_test[., 1:2], test_clusters);