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

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InitializationProcedure Class Reference

Class that specifies the default method for setting initial parameters of multivariate outlier detection algorithm. More...

Class Constructor

Constructs the default initialization procedure

Parameters
contextContext to manage the algorithm

Detailed Description

Deprecated:
This item will be removed in a future release.

Member Function Documentation

void dispose ( )

Releases memory allocated for the native iface object

Implements Disposable.

void initialize ( NumericTable  data,
NumericTable  location,
NumericTable  scatter,
NumericTable  threshold 
)

Sets initial parameters of multivariate outlier detection algorithm

Parameters
dataInput data table of size n x p
locationVector of mean estimates of size 1 x p
scatterMeasure of spread, the variance-covariance matrix of size p x p
thresholdLimit that defines the outlier region, the array of size 1 x 1 containing a non-negative number

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

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