C++ API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5
Parameters for the K-Means algorithm. More...
| Parameter | ( | size_t | _nClusters, |
| size_t | _maxIterations | ||
| ) |
Constructs parameters of the K-Means algorithm
| [in] | _nClusters | Number of clusters |
| [in] | _maxIterations | Number of iterations |
Constructs parameters of the K-Means algorithm by copying another parameters of the K-Means algorithm
| [in] | other | Parameters of the K-Means algorithm |
| double accuracyThreshold |
Threshold for the termination of the algorithm
| bool assignFlag |
Do data points assignment
| DistanceType distanceType |
Distance used in the algorithm
| double gamma |
Weight used in distance computation for categorical features
| size_t maxIterations |
Number of iterations
| size_t nClusters |
Number of clusters
For more complete information about compiler optimizations, see our Optimization Notice.