Class KMeansIndexParams

When passing an object of this type the index constructed will be a hierarchical k-means tree.

Inheritance
System.Object
DisposableObject
DisposableCvObject
IndexParams
KMeansIndexParams
Implements
Inherited Members
Namespace: OpenCvSharp.Flann
Assembly: OpenCvSharp.dll
Syntax
public class KMeansIndexParams : IndexParams, ICvPtrHolder

Constructors

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KMeansIndexParams(Ptr)

Declaration
protected KMeansIndexParams(Ptr ptrObj)
Parameters
Type Name Description
Ptr ptrObj
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KMeansIndexParams(Int32, Int32, FlannCentersInit, Single)

Constructor

Declaration
public KMeansIndexParams(int branching = 32, int iterations = 11, FlannCentersInit centersInit = FlannCentersInit.Random, float cbIndex = 0.2F)
Parameters
Type Name Description
System.Int32 branching

The branching factor to use for the hierarchical k-means tree
System.Int32 iterations

The maximum number of iterations to use in the k-means clustering stage when building the k-means tree. A value of -1 used here means that the k-means clustering should be iterated until convergence
FlannCentersInit centersInit

The algorithm to use for selecting the initial centers when performing a k-means clustering step.
System.Single cbIndex

This parameter (cluster boundary index) influences the way exploration is performed in the hierarchical kmeans tree. When cb_index is zero the next kmeans domain to be explored is choosen to be the one with the closest center. A value greater then zero also takes into account the size of the domain.

Methods

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DisposeUnmanaged()

Declaration
protected override void DisposeUnmanaged()
Overrides
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Get()

Declaration
public override IntPtr Get()
Returns
Type Description
IntPtr
Overrides

Implements