LORENZ_CLUSTER
Cluster Lorenz Equation Data.


LORENZ_CLUSTER is a MATLAB library 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.

Licensing:

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Languages:

LORENZ_CLUSTER is available in a MATLAB version.

Related Data and Programs:

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.

Reference:

  1. Eurika Kaiser, Bernd Noack, Laurent Cordier, Andreas Spohn, Marc Segond, Markus Abel, Guillaume Daviller, Robert Niven,
    Cluster-based reduced-order modelling of a mixing layer,
    Submitted to Journal of Fluid Mechanics.

Examples and Tests:

There are data files read by the sample code:

You can go up one level to the MATLAB source codes.


Last revised on 15 October 2013.