Java* API Reference for Intel® Data Analytics Acceleration Library 2019 Update 5

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InitDistributedStep4Local Class Reference

Third step of computing initial centroids for the K-Means algorithm on local nodes. More...

Class Constructor

Constructs an algorithm for computing initial centroids for the K-Means algorithm in the first step of the distributed processing mode by copying input objects and parameters of another algorithm

Parameters
contextContext to manage initial centroids for the K-Means algorithm
otherAn algorithm to be used as the source to initialize the input objects and parameters of the algorithm
InitDistributedStep4Local ( DaalContext  context,
Class<?extends Number >  cls,
InitMethod  method,
long  nClusters 
)

Constructs an algorithm for computing initial centroids for the K-Means algorithm in the first step of the distributed processing mode

Parameters
contextContext to manage initial centroids for the K-Means algorithm
clsData type to use in intermediate computations of initial centroids for the K-Means algorithm, Double.class or Float.class
methodMethod of computing initial centroids for the algorithm, InitMethod
nClustersNumber of initial centroids for the K-Means algorithm

Detailed Description

References

Member Function Documentation

Returns the newly allocated algorithm for computing initial centroids for the K-Means algorithm in the first step of the distributed processing mode with a copy of input objects and parameters of this algorithm

Parameters
contextContext to manage initial centroids for the K-Means algorithm
Returns
The newly allocated algorithm

Computes initial centroids for the K-Means algorithm

Returns
Partial results of computing initial centroids for the K-Means algorithm
InitResult finalizeCompute ( )

Computes the results of K-Means initialization

Returns
Results of K-Means initialization
void setPartialResult ( InitDistributedStep4LocalPlusPlusPartialResult  partialResult,
boolean  initFlag 
)

Registers user-allocated memory to store partial results of computing initial centroids for the K-Means algorithm

Parameters
partialResultStructure to store partial results of computing initial centroids for the K-Means algorithm
initFlagFlag that specifies initialization of partial results
void setPartialResult ( InitDistributedStep4LocalPlusPlusPartialResult  partialResult)

Registers user-allocated memory to store partial results of computing initial centroids for the K-Means algorithm

Parameters
partialResultStructure to store partial results of computing initial centroids for the K-Means algorithm
void setResult ( InitResult  result)

Registers user-allocated memory to store the results of computing initial centroids for the K-Means algorithm

Parameters
resultStructure to store the results of computing initial centroids for the K-Means algorithm

Member Data Documentation

Input data

InitMethod method

Method for computing initial centroids

InitParameter parameter

Parameters for computing initial centroids

Partial result of the initialization algorithm


The documentation for this class was generated from the following file:

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