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ICentroidClusterCollectionTData, TCluster Interface |
Common interface for clusters that contains centroids which are of the same data type
as the clustered data types (i.e. KMeansClusterCollectionKMeansCluster).
Namespace: Accord.MachineLearning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntaxpublic interface ICentroidClusterCollection<TData, TCluster> : ICentroidClusterCollection<TData, TData, TCluster>, IClusterCollectionEx<TData, TCluster>, IEnumerable
Type Parameters
- TData
- TCluster
The ICentroidClusterCollectionTData, TCluster type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Centroids |
Gets or sets the clusters' centroids.
(Inherited from ICentroidClusterCollectionTData, TCentroids, TCluster.) |
| Clusters |
Gets the collection of clusters currently modeled by the clustering algorithm.
(Inherited from IClusterCollectionExTData, TCluster.) |
| Count |
Gets the number of clusters in the collection.
(Inherited from IClusterCollectionExTData, TCluster.) |
| Distance |
Gets or sets the distance function used to measure the distance
between a point and the cluster centroid in this clustering definition.
(Inherited from ICentroidClusterCollectionTData, TCentroids, TCluster.) |
| Item |
Gets the cluster at the given index.
(Inherited from IClusterCollectionExTData, TCluster.) |
| Proportions |
Gets the proportion of samples in each cluster.
(Inherited from IClusterCollectionExTData, TCluster.) |
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.) |
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.) |
See Also