GaussianClusterCollection Properties

The GaussianClusterCollection type exposes the following members.

Properties

	Name	Description
	Centroids	Gets or sets the clusters' centroids.
	Clusters	Gets the collection of clusters currently modeled by the clustering algorithm.
	Count	Gets the number of clusters in the collection.
	Covariance	Gets the covariance matrices for each of the clusters.
	Distance	Gets or sets the distance function used to measure the distance between a point and the cluster centroid in this clustering definition.
	Item	Gets the GaussianClusterCollectionGaussianCluster at the specified index.
	Means	Gets the mean vectors for the clusters.
	Model	Gets the mixture model represented by this clustering.
	NumberOfClasses	Gets the number of classes expected and recognized by the classifier. (Inherited from ClassifierBaseTInput, TClasses.)
	NumberOfInputs	Gets the number of inputs accepted by the model. (Inherited from TransformBaseTInput, TOutput.)
	NumberOfOutputs	Gets the number of outputs generated by the model. (Inherited from TransformBaseTInput, TOutput.)
	Proportions	Gets the proportion of samples in each cluster.
	Variance	Gets the variance for each of the clusters.