k-means++: a C++ version implement k-means++ clustering a classification of data, so that points assigned to the same cluster are similar. It is identical to the K-means algorithm, except for the selection of initial conditions. I implement k-means++ clustering algorithm by using C++. The implemented open source code can be used freely. If you have any questions , please conected y.j.zhou.g@gmail.com. The implemented code including the following features.
Features
Standard k-means clustering methed Standard k-means clustering methed with parallel acceleratation k-means++ clustering methed k-means++ clustering methed with parallel acceleratation Export the result as SVG format Export the result as EPS format
Clustering benchmark datasets: https://cs.joensuu.fi/sipu/datasets/
References ARTHUR, David; VASSILVITSKII, Sergei. k-means++: The advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. Society for Industrial and Applied Mathematics, 2007. p. 1027-1035. FRÄNTI, Pasi; VIRMAJOKI, Olli. Iterative shrinking method for clustering problems. Pattern Recognition, 2006, 39.5: 761-775.