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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_ICentroidClusterCollection_2.htm below:

ICentroidClusterCollectionTData, TCluster Interface Namespace:  Accord.MachineLearning
Assembly:

Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax
public interface ICentroidClusterCollection<TData, TCluster> : ICentroidClusterCollection<TData, TData, TCluster>, 
	IClusterCollectionEx<TData, TCluster>, IEnumerable
Public Interface ICentroidClusterCollection(Of TData, TCluster)
	Inherits ICentroidClusterCollection(Of TData, TData, TCluster), IClusterCollectionEx(Of TData, TCluster), 
	IEnumerable
Type Parameters
TData
TCluster

The ICentroidClusterCollectionTData, TCluster type exposes the following members.

Properties Methods   Name Description Distortion

Calculates the average square distance from the data points to the nearest clusters' centroids.

(Inherited from ICentroidClusterCollectionTData, TCentroids, TCluster.) GetEnumerator

Returns an enumerator that iterates through a collection.

(Inherited from IEnumerable.) Transform(TData, Double, Double)

Transform data points into feature vectors containing the distance between each point and each of the clusters.

(Inherited from ICentroidClusterCollectionTData, TCentroids, TCluster.) Transform(TData, Int32, Double, Double)

Transform data points into feature vectors containing the distance between each point and each of the clusters.

(Inherited from ICentroidClusterCollectionTData, TCentroids, TCluster.) Top Extension Methods   Name Description SetEqualsTCluster

Compares two enumerables for set equality. Two enumerables are set equal if they contain the same elements, but not necessarily in the same order.

(Defined by Matrix.) Top See Also

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