F_VN_GetBatchClusters
Get the IDs of the best-matching clusters of a batch of samples.
Syntax
Definition:
FUNCTION F_VN_GetBatchClusters : HRESULT
VAR_INPUT
ipClusterer : ITcVnMlModel;
ipSamples : ITcUnknown;
ipClusters : Reference To ITcVnContainer;
hrPrev : HRESULT;
END_VAR
Inputs
|
Name |
Type |
Description |
|---|---|---|
|
ipClusterer |
Clusterer to be used | |
|
ipSamples |
Container holding a batch of input samples (ContainerType_Vector_Vector_REAL or ContainerType_Vector_Vector_LREAL) | |
|
ipClusters |
Reference To ITcVnContainer |
Returns the cluster IDs (ContainerType_Vector_DINT) |
|
hrPrev |
HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.) |
Return valueFurther information
The function F_VN_GetBatchClusters determines the best matching cluster for all samples in a container and returns its ID.
Parameter
Clusterer model
A previously trained model must be transferred to ipClusterer for assignment to clusters.
Samples
A container with the samples is transferred to ipSamples. The type of container must be ContainerType_Vector_Vector_REAL or ContainerType_Vector_Vector_LREAL.
Cluster IDs
A container with the determined IDs is returned via the reference ipClusters.
Expert parameters
The expert variant F_VN_GetBatchClustersExp contains additional parameters.
Application
The assignment of samples to clusters can be calculated in this way:
hr := F_VN_GetBatchClusters(
ipClusterer := ipClusterer,
ipSamples := ipSamples,
ipClusters := ipClusters,
hrPrev := hr);
Related functions
Required License
TC3 Vision Machine Learning
System Requirements
Development environment | Target platform | PLC libraries to include |
|---|---|---|
TwinCAT V3.1.4024.54 or later | PC or CX (x64) with PL50, e.g. Intel 4-core Atom CPU | Tc3_Vision |