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KMeansClusterCollectionKMeansCluster Class |
k-Means' cluster.
Inheritance HierarchySystemObject
Accord.MachineLearningClusterKMeansClusterCollection, Double, KMeansClusterCollectionKMeansCluster
Accord.MachineLearningCentroidClusterKMeansClusterCollection, Double, Double, KMeansClusterCollectionKMeansCluster
Accord.MachineLearningCentroidClusterKMeansClusterCollection, Double, KMeansClusterCollectionKMeansCluster
Accord.MachineLearningKMeansClusterCollectionKMeansCluster
Accord.MachineLearningClusterKMeansClusterCollection, Double, KMeansClusterCollectionKMeansCluster
Accord.MachineLearningCentroidClusterKMeansClusterCollection, Double, Double, KMeansClusterCollectionKMeansCluster
Accord.MachineLearningCentroidClusterKMeansClusterCollection, Double, KMeansClusterCollectionKMeansCluster
Accord.MachineLearningKMeansClusterCollectionKMeansCluster
Namespace: Accord.MachineLearning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax[SerializableAttribute] public class KMeansCluster : CentroidCluster<KMeansClusterCollection, double[], KMeansClusterCollectionKMeansCluster>
The KMeansClusterCollectionKMeansCluster type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | KMeansClusterCollectionKMeansCluster | Initializes a new instance of the KMeansClusterCollectionKMeansCluster class |
Properties| Name | Description | |
|---|---|---|
 | Centroid |
Gets the cluster's centroid.
(Inherited from CentroidClusterTCollection, TData, TCentroid, TCluster.) |
| Covariance |
Gets the covariance matrix for the samples in this cluster.
|
| Index |
Gets the label for this cluster.
(Inherited from ClusterTCollection, TData, TCluster.) |
| Owner |
Gets the collection to which this cluster belongs to.
(Inherited from ClusterTCollection, TData, TCluster.) |
| Proportion |
Gets the proportion of samples contained in this cluster.
(Inherited from ClusterTCollection, TData, TCluster.) |
Methods| Name | Description | |
|---|---|---|
| Distortion |
Computes the distortion of the cluster, measured
as the average distance between the cluster points
and its centroid.
(Inherited from CentroidClusterTCollection, TData, TCentroid, TCluster.) |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
 | Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Extension Methods| Name | Description | |
|---|---|---|
 | HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) |
| IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) |
| To(Type) | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
| ToT | Overloaded.
Converts an object into another type, irrespective of whether
the conversion can be done at compile time or not. This can be
used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.) |
See Also