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KMeans clustering in Eigen.
C++ CMake
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CMakeHelpers @ 85cf150
Helpers @ e53bc2f
.gitignore Find Eigen correctly. May 9, 2015
.gitmodules
CMakeLists.txt Use CMakeHelpers to register this as a submodule. May 11, 2015
FindEigen3.cmake
KMeansClustering.cpp
KMeansClustering.h
KMeansClusteringExample.cpp
Readme.md Update Readme.md Apr 15, 2016
Test.cpp

Readme.md

This is a c++ implementation of the K-Means clustering algorithm. It also includes the KMeans++ initialization algorithm.

Obtaining the code: Please be sure to: git clone --recursive

so that the submodules will also be checked out.

Example usage:

KMeansClustering::VectorOfPoints points = ... load data ... KMeansClustering kmeans; kmeans.SetK(2); // specify the number of clusters kmeans.SetPoints(points); kmeans.Cluster(); // Perform the clustering

// Get the membership of every point std::vector labels = GetLabels();

// Get all points ids with a particular membership (in this case, cluster 0) std::vector pointIdsInCluster0 = kmeans.GetIndicesWithLabel(0);

/** Get the points with a specified cluster membership. */ VectorOfPoints pointsInCluster0 = kmeans.GetPointsWithLabel(0);

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