Java* API Reference for Intel® Data Analytics Acceleration Library 2019

Packages | Classes

Contains classes for computing K-Means.

Packages

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

Classes

class  Batch
 Computes the results of the K-Means algorithm in the batch processing mode. More...
 
class  DistanceType
 Available distance types for the K-Means algorithm. More...
 
class  DistributedStep1Local
 Computes K-Means in the distributed processing mode on local nodes. More...
 
class  DistributedStep1LocalInput
 Input objects for the K-Means algorithm. Represents input objects for the algorithm on local nodes. More...
 
class  DistributedStep2Master
 Computes K-Means in the distributed processing mode on the master node. More...
 
class  DistributedStep2MasterInput
 Input objects for the K-Means algorithm in the second step of the distributed processing mode. Represents input objects for the algorithm on the master node. More...
 
class  DistributedStep2MasterInputId
 Available identifiers of input objects for the K-Means algorithm on the master node. More...
 
class  Input
 Input objects for the K-Means algorithm More...
 
class  InputId
 Available identifiers of input objects for the K-Means algorithm. More...
 
class  Method
 Available methods of the K-Means algorithm. More...
 
class  Parameter
 Parameters of the K-Means computation method. More...
 
class  PartialResult
 Provides methods to access partial results obtained with the compute() method of the K-Means algorithm in the distributed processing mode. More...
 
class  PartialResultId
 Available identifiers of partial results of the K-Means algorithm. More...
 
class  Result
 Results obtained with the compute() method of the K-Means algorithm in the batch processing mode. More...
 
class  ResultId
 Available identifiers of the results of the K-Means algorithm. More...
 

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