From 8070dc963753142bb86c4ed698d91fd623ed28e7 Mon Sep 17 00:00:00 2001 From: ziejd2 Date: Thu, 28 Sep 2017 15:04:40 -0500 Subject: BNW using Octave instead of Matlab. This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning. I am calling this BNW_1.02. It can be accessed at: compbio.uthsc.edu/BNW_1.02 --- sourcecodes/bnt-master/nethelp3.3/demkmn1.htm | 49 +++++++++++++++++++++++++++ 1 file changed, 49 insertions(+) create mode 100644 sourcecodes/bnt-master/nethelp3.3/demkmn1.htm (limited to 'sourcecodes/bnt-master/nethelp3.3/demkmn1.htm') diff --git a/sourcecodes/bnt-master/nethelp3.3/demkmn1.htm b/sourcecodes/bnt-master/nethelp3.3/demkmn1.htm new file mode 100644 index 00000000..f22787df --- /dev/null +++ b/sourcecodes/bnt-master/nethelp3.3/demkmn1.htm @@ -0,0 +1,49 @@ + + + +Netlab Reference Manual demkmean + + + +

demkmean +

+Purpose +

+Demonstrate simple clustering model trained with K-means. + +

+Synopsis +

+demkmean

+ + +

+Description +

+The problem consists of data in a two-dimensional space. +The data is +drawn from three spherical Gaussian distributions with priors 0.3, +0.5 and 0.2; centres (2, 3.5), (0, 0) and (0,2); and standard deviations +0.2, 0.5 and 1.0. The first figure contains a +scatter plot of the data. The data is the same as in demgmm1. + +

A cluster model with three components is trained using the batch +K-means algorithm. The matrix of centres is printed after training. +The second +figure shows the data labelled with a colour derived from the corresponding +cluster + +

+See Also +

+dem2ddat, demgmm1, knn1, kmeans

+Pages: +Index +