F_VN_GetSampleCluster

F_VN_GetSampleCluster 1:

Get the ID of the best-matching cluster of a single sample.

Syntax

Definition:

FUNCTION F_VN_GetSampleCluster : HRESULT
VAR_INPUT
    ipClusterer : ITcVnMlModel;
    ipSample    : ITcUnknown;
END_VAR
VAR_IN_OUT
    nCluster    : DINT;
END_VAR
VAR_INPUT
    hrPrev      : HRESULT;
END_VAR

F_VN_GetSampleCluster 2: Inputs

Name

Type

Description

ipClusterer

ITcVnMlModel

Clusterer to be used

ipSample

ITcUnknown

Container holding a single input sample (ContainerType_Vector_REAL or ContainerType_Vector_LREAL)

hrPrev

HRESULT

HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.)

F_VN_GetSampleCluster 3: In/Outputs

Name

Type

Description

nCluster

DINT

Returns the ID of the cluster the sample has been assigned to

F_VN_GetSampleCluster 4: Return value

HRESULT

Further information

The function F_VN_GetSampleCluster determines the best matching cluster for a sample and returns its ID.

Parameter

Clusterer model

A previously trained model must be transferred to ipClusterer for assignment to clusters.

Sample

A container with a sample is transferred to ipSample. The type of container must be ContainerType_Vector_REAL or ContainerType_Vector_LREAL.

Cluster ID

The ID determined is returned via nCluster.

Expert parameters

The expert variant F_VN_GetSampleClusterExp contains additional parameters.

Application

The assignment of a sample to a cluster can be calculated as follows:

hr := F_VN_GetSampleCluster(
    ipClusterer := ipClusterer,
    ipSample    := ipSample,
    nCluster    := nCluster,
    hrPrev      := hr);

Related functions

Required License

TC3 Machine Learning Realtime Inference

System Requirements

Development environment

Target platform

PLC libraries to include

TwinCAT V3.1.4024.59 or later

PC or CX (x64) with min. PL50, e.g. Intel 4-core Atom CPU

Tc3_Vision