C++ API Reference for Intel® Data Analytics Acceleration Library 2018 Update 2

Classes | Variables
daal::algorithms::kmeans::init::interface1 Namespace Reference

Contains version 1.0 of the Intel(R) Data Analytics Acceleration Library (Intel(R) DAAL) interface.

Classes

class  Batch
 Computes initial clusters for the K-Means algorithm in the batch processing mode. More...
 
class  BatchContainer
 Provides methods to run implementations of initialization of the K-Means algorithm. This class is associated with the daal::algorithms::kmeans::init::Batch class and supports the method of computing initial clusters for the K-Means algorithm in the batch processing mode. More...
 
class  Distributed< step1Local, algorithmFPType, method >
 Computes initial clusters for the K-Means algorithm in the first step of the distributed processing mode. More...
 
class  Distributed< step2Local, algorithmFPType, method >
 Computes initial clusters for the K-Means algorithm in the 2nd step of the distributed processing mode. Used with plusPlus and parallelPlus methods only on a local node. More...
 
class  Distributed< step2Master, algorithmFPType, method >
 Computes initial clusters for the K-Means algorithm in the 2nd step of the distributed processing mode. More...
 
class  Distributed< step3Master, algorithmFPType, method >
 Computes initial clusters for the K-Means algorithm in the 3rd step of the distributed processing mode. Used with plusPlus and parallelPlus methods only on the master node. More...
 
class  Distributed< step4Local, algorithmFPType, method >
 Computes initial clusters for the K-Means algorithm in the 4th step of the distributed processing mode. Used with plusPlus and parallelPlus methods only on a local node. More...
 
class  Distributed< step5Master, algorithmFPType, method >
 Computes initial clusters for the K-Means algorithm in the 5th step of the distributed processing mode. Used with parallelPlus method only. More...
 
class  DistributedContainer< step1Local, algorithmFPType, method, cpu >
 Class containing methods for computing initial clusters for the K-Means algorithm in the first step of the distributed processing mode. More...
 
class  DistributedContainer< step2Local, algorithmFPType, method, cpu >
 Class containing methods for computing initial clusters for the K-Means algorithm in the 2nd step of the distributed processing mode performed on a local node. More...
 
class  DistributedContainer< step2Master, algorithmFPType, method, cpu >
 Class containing methods for computing initial clusters for the K-Means algorithm in the 2nd step of the distributed processing mode. More...
 
class  DistributedContainer< step3Master, algorithmFPType, method, cpu >
 Class containing methods for computing initial clusters for the K-Means algorithm in the 3rd step of the distributed processing mode performed on the master mode. More...
 
class  DistributedContainer< step4Local, algorithmFPType, method, cpu >
 Class containing methods for computing initial clusters for the K-Means algorithm in the 4th step of the distributed processing mode performed on a local node. More...
 
class  DistributedContainer< step5Master, algorithmFPType, method, cpu >
 Class containing methods for computing initial clusters for the K-Means algorithm in the 5th step of the distributed processing mode performed on the master node. More...
 
class  DistributedStep2LocalPlusPlusInput
 Interface for the K-Means initialization distributed Input classes used with plusPlus and parallelPlus methods only on the 2nd step on a local node. More...
 
struct  DistributedStep2LocalPlusPlusParameter
 Parameters for computing initial centroids for the K-Means algorithm. More...
 
class  DistributedStep2LocalPlusPlusPartialResult
 Partial results obtained with the compute() method of the K-Means algorithm in the distributed processing mode. More...
 
class  DistributedStep2MasterInput
 Input objects for computing initials clusters for the K-Means algorithm in the second step of the distributed processing mode More...
 
class  DistributedStep3MasterPlusPlusInput
 Interface for the K-Means distributed Input classes used with plusPlus and parallelPlus methods only on the 3rd step on a master node. More...
 
class  DistributedStep3MasterPlusPlusPartialResult
 Partial results obtained with the compute() method of the K-Means algorithm in the distributed processing mode. More...
 
class  DistributedStep4LocalPlusPlusInput
 Interface for the K-Means distributed Input classes used with plusPlus and parallelPlus methods only on the 4th step on a local node. More...
 
class  DistributedStep4LocalPlusPlusPartialResult
 Partial results obtained with the compute() method of the K-Means algorithm in the distributed processing mode. More...
 
class  DistributedStep5MasterPlusPlusInput
 Interface for the K-Means distributed Input classes. More...
 
class  DistributedStep5MasterPlusPlusPartialResult
 Partial results obtained with the compute() method of the K-Means algorithm in the distributed processing mode. More...
 
class  Input
 Input objects for computing initial centroids for the K-Means algorithm More...
 
class  InputIface
 Interface for the K-Means initialization batch and distributed Input classes. More...
 
struct  Parameter
 Parameters for computing initial centroids for the K-Means algorithm. More...
 
class  PartialResult
 Partial results obtained with the compute() method of the K-Means algorithm in the batch processing mode. More...
 
class  Result
 Results obtained with the compute() method that computes initial centroids for the K-Means algorithm in the batch processing mode. More...
 

Variables

template<ComputeStep step, typename algorithmFPType , Method method, CpuType cpu>
class DAAL_EXPORT DistributedContainer
 Provides methods to run implementations of initialization of the K-Means algorithm. This class is associated with the daal::algorithms::kmeans::init::Distributed class and supports the method of computing initial clusters for the K-Means algorithm in the distributed processing mode. More...
 
template<ComputeStep step, typename algorithmFPType = DAAL_ALGORITHM_FP_TYPE, Method method = defaultDense>
class DAAL_EXPORT Distributed
 Computes initial clusters for the K-Means algorithm in the distributed processing mode. More...
 

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