ipsdk::math::KMeansClustering Class Reference

K-Means clustering algorithm with K-Means++ initialization. More...

#include <KMeansClustering.h>

Detailed Description

K-Means clustering algorithm with K-Means++ initialization.

Author

E.Noirfalise

Date

2018/07/24

Copyright

2018 Reactiv'IP, all right reserved.

See also

https://en.wikipedia.org/wiki/K-means_clustering

https://en.wikipedia.org/wiki/K-means%2B%2B

E.W. Forgy (1965). "Cluster analysis of multivariate data: efficiency versus interpretability of classifications". Biometrics. 21: 768–769.

Arthur, D.; Vassilvitskii, S. (2007). "k-means++: the advantages of careful seeding". Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms. Society for Industrial and Applied Mathematics Philadelphia, PA, USA. pp. 1027–1035.

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The documentation for this class was generated from the following file:

• /media/reactivipdev/Nightly/IPSDK_Patch/IPSDK_4_1/IPSDK_Nightly/include/public/IPSDKMath/Clustering/KMeansClustering.h