Provides methods to run implementations of initialization of K-Means algorithm. This class is associated with the daal::algorithms::kmeans::init::Batch class and supports the method of computing initial clusters for K-Means algorithm in the batch processing mode.
More...
template<typename algorithmFPType, Method method, CpuType cpu>
class daal::algorithms::kmeans::init::interface2::BatchContainer< algorithmFPType, method, cpu >
- Template Parameters
-
algorithmFPType | Data type to use in intermediate computations of initial clusters for K-Means algorithm, double or float |
method | Method of computing initial clusters for the algorithm, daal::algorithms::kmeans::init::Method |
Constructs a container for initializing K-Means algorithm with a specified environment in the batch processing mode
- Parameters
-
[in] | daalEnv | Environment object |
virtual services::Status compute |
( |
| ) |
|
|
virtual |
Computes initial values for K-Means algorithm in the batch processing mode
The documentation for this class was generated from the following file: