Java* API Reference for Intel® Data Analytics Acceleration Library 2018 Update 3

Classes

Contains classes for computing initial clusters for the K-Means algorithm in the batch processing mode.

Classes

class  InitBatch
 Computes initial clusters for the K-Means algorithm in the batch processing mode. More...
 
class  InitDistributedLocalPlusPlusInputDataId
 Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with plusPlus and parallelPlus methods only on a local node. More...
 
class  InitDistributedStep1Local
 First step of computing initial clusters for the K-Means algorithm on local nodes. More...
 
class  InitDistributedStep1LocalInput
 Input objects for computing initial clusters for the K-Means algorithm. The class represents input objects for computing initial clusters for the algorithm on local nodes. More...
 
class  InitDistributedStep2Local
 Seconda step of computing initial centroids for the K-Means algorithm on local nodes. More...
 
class  InitDistributedStep2LocalPlusPlusInput
 Input objects for computing initial centroids for the K-Means algorithm. The class represents input objects for computing initial centroids used with plusPlus and parallelPlus methods only on the 2nd step on a local node. More...
 
class  InitDistributedStep2LocalPlusPlusInputId
 Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 2nd step on a local node. More...
 
class  InitDistributedStep2LocalPlusPlusParameter
 Parameters for computing initial clusters on the step 2 on local nodes. Kmeans++ and || only. More...
 
class  InitDistributedStep2LocalPlusPlusPartialResult
 Provides methods to access partial results of computing initial centroids for the K-Means algorithm in the distributed processing mode. More...
 
class  InitDistributedStep2LocalPlusPlusPartialResultDataId
 Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with plusPlus and parallelPlus methods only on the 2nd step on a local node. More...
 
class  InitDistributedStep2LocalPlusPlusPartialResultId
 Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with plusPlus and parallelPlus methods only on the 2nd step on a local node. More...
 
class  InitDistributedStep2Master
 Computes initial clusters for the K-Means algorithm in the distributed processing mode on the master node. More...
 
class  InitDistributedStep2MasterInput
 Input objects for computing initial clusters for the K-Means algorithm. The class represents input objects for computing initial clusters for the algorithm on the master node. More...
 
class  InitDistributedStep2MasterInputId
 Available identifiers of input objects for computing initial clusters for the K-Means algorithm on the master node. More...
 
class  InitDistributedStep3Master
 Third step of computing initial centroids for the K-Means algorithm on local nodes. More...
 
class  InitDistributedStep3MasterPlusPlusInput
 Input objects for computing initial centroids for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 3rd step on a master node. More...
 
class  InitDistributedStep3MasterPlusPlusInputId
 Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 3rd step on a master node. More...
 
class  InitDistributedStep3MasterPlusPlusPartialResult
 Provides methods to access partial results of computing initial centroids for the K-Means algorithm in the distributed processing mode. More...
 
class  InitDistributedStep3MasterPlusPlusPartialResultDataId
 Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with parallelPlus method only on the 3rd step on a master node. More...
 
class  InitDistributedStep3MasterPlusPlusPartialResultId
 Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with plusPlus and parallelPlus methods only on the 3rd step on a master node. More...
 
class  InitDistributedStep4Local
 Third step of computing initial centroids for the K-Means algorithm on local nodes. More...
 
class  InitDistributedStep4LocalPlusPlusInput
 Input objects for computing initial centroids for the K-Means algorithm. The class represents input objects for computing initial centroids used with plusPlus and parallelPlus methods only on the 4th step on a local node. More...
 
class  InitDistributedStep4LocalPlusPlusInputId
 Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 4th step on a local node. More...
 
class  InitDistributedStep4LocalPlusPlusPartialResult
 Provides methods to access partial results of computing initial centroids for the K-Means algorithm in the distributed processing mode. More...
 
class  InitDistributedStep4LocalPlusPlusPartialResultId
 Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with plusPlus and parallelPlus methods only on the 4th step on a local node. More...
 
class  InitDistributedStep5Master
 Third step of computing initial centroids for the K-Means algorithm on local nodes. More...
 
class  InitDistributedStep5MasterPlusPlusInput
 Input objects for computing initial centroids for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 5th step on a master node. More...
 
class  InitDistributedStep5MasterPlusPlusInputDataId
 Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with parallelPlus methods only on the 5th step on a master node. More...
 
class  InitDistributedStep5MasterPlusPlusInputId
 Available identifiers of input objects for computing initial clusters for the K-Means algorithm used with plusPlus and parallelPlus methods only on the 5th step on a master node. More...
 
class  InitDistributedStep5MasterPlusPlusPartialResult
 Provides methods to access partial results of computing initial centroids for the K-Means algorithm in the distributed processing mode. More...
 
class  InitDistributedStep5MasterPlusPlusPartialResultId
 Available identifiers of partial results of computing initial clusters for the K-Means algorithm in the distributed processing mode used with parallelPlus method only on the 5th step on a master node. More...
 
class  InitInput
 InitInput objects for computing initial clusters for the K-Means algorithm More...
 
class  InitInputId
 Available identifiers of input objects for computing initial clusters for the K-Means algorithm. More...
 
class  InitMethod
 Methods of computing initial clusters for the K-Means algorithm. More...
 
class  InitParameter
 Parameters for computing initial clusters for the K-Means method. More...
 
class  InitPartialResult
 Provides methods to access partial results of computing initial centroids for the K-Means algorithm in the distributed processing mode. More...
 
class  InitPartialResultId
 Available identifiers of partial results of computing initial clusters for the K-Means algorithm. More...
 
class  InitResult
 Results of computing initial clusters for the K-Means algorithm in the batch processing mode. More...
 
class  InitResultId
 Available identifiers of the results of computing initial clusters for the K-Means algorithm. More...
 

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