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KMeansIndexParams Constructor
Initializes a new instance of the KMeansIndexParams class.

Namespace:  Emgu.CV.Flann
Assembly:  Emgu.CV.World (in Emgu.CV.World.dll) Version: (
public KMeansIndexParams(
	int branching = 32,
	int iterations = 11,
	CenterInitType centersInit = CenterInitType.Random,
	float cbIndex = 0.2f


branching (Optional)
Type: SystemInt32
The branching factor to use for the hierarchical k-means tree
iterations (Optional)
Type: SystemInt32
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
centersInit (Optional)
Type: Emgu.CV.FlannCenterInitType
The algorithm to use for selecting the initial centers when performing a k-means clustering step. The possible values are CENTERS_RANDOM (picks the initial cluster centers randomly), CENTERS_GONZALES (picks the initial centers using Gonzales’ algorithm) and CENTERS_KMEANSPP (picks the initial centers using the algorithm suggested in arthur_kmeanspp_2007 )
cbIndex (Optional)
Type: SystemSingle
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 chosen to be the one with the closest center. A value greater then zero also takes into account the size of the domain.
See Also