MeanShift_cpp is an implementation of MeanShift clustering in C++
The current version is functional, but very limited
The current programming model includes a class
MeanShift. The MeanShift constructor takes a function pointer to a kernel function to be used in the clustering process. If
NULL, it will use a Gaussian kernel.
Points are assumed to be
vector<double>. Point collections are assumed to be
vector<vector<double> >. This may change in the future.
To cluster a set of points, create a MeanShift object and call the
cluster method with a collection of points and a kernel bandwidth. The shifted point will be returned as a
vector<vector<double> >. Note that the points are not currently grouped into cluters, but rather shifted to their converged locations.
vector<vector<double> > points = load_points("test_simple.csv"); MeanShift *ms = new MeanShift(NULL); double kernel_bandwidth = 2; vector<vector<double> > shifted_points = ms->cluster(points, 2);
Visualization for Linux
Install gnuplot and gnuplot-qt
sudo apt-get install gnuplot gnuplot-qt
Make and run the cpp_test
The program will generate a csv file named "result.csv".
gnuplot plot 'test.csv' with points, 'result.csv' with points