KMeans_ |
The KMeans_Double1D type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | ClusterCounts |
Gets a list which contains the number of values in each of the clusters (length is numberOfClusters).
(Inherited from KMeansTData, TDataSum) |
| ClusterIndices |
Gets a list with the same length as the number of data points, in which each element is
the index of the cluster this data point is assigned to.
(Inherited from KMeansTData, TDataSum) |
| ClusterMeans |
Gets a list which contains the mean values of the clusters (length is numberOfClusters).
(Inherited from KMeansTData, TDataSum) |
| Data |
Gets a list which contains the data points provided.
(Inherited from KMeansTData, TDataSum) |
| HasPatchingEmptyClustersFailed |
If true, during evaluation, empty clusters have appeared, which could not be patched with other data.
(Inherited from KMeansTData, TDataSum) |
| HasReachedMaximumNumberOfIterations |
If true, the evaluation has reached the maximum number of iterations, without converging.
(Inherited from KMeansTData, TDataSum) |
| SortingOfClusterValues |
Get/sets the sorting of cluster values after evaluation. It presumes that the generic type TDataSum
implements the IComparable interface.
(Inherited from KMeansTData, TDataSum) |
See Also