lorenz_cluster_test, a MATLAB program which takes N points on a trajectory of solutions to the Lorenz equations and applies the K-Means algorithm to organize the data into K clusters.
The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.
lorenz_cluster_test is available in a MATLAB version.
KMEANS, a MATLAB library which contains several different algorithms for the K-Means problem, which organizes a set of N points in M dimensions into K clusters;
KMEANS_FAST, a MATLAB library which contains several different algorithms for the K-Means problem, which organizes a set of N points in M dimensions into K clusters, by Charles Elkan.
LORENZ_ODE, a MATLAB program which approximates solutions to the Lorenz system, creating output files that can be displayed by Gnuplot.
MATLAB_KMEANS, MATLAB programs which illustrate the use of MATLAB's kmeans() function for clustering N sets of M-dimensional data into K clusters.
There are data files read by the sample code: