Enumerates the methods that may be used to initialize
the K-means clustering algorithm.
Namespace: Extreme.Statistics.MultivariateAssembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.17114.0)
public enum KMeansInitializationMethod
Public Enumeration KMeansInitializationMethod
public enum class KMeansInitializationMethod
type KMeansInitializationMethod
|
| Member name | Value | Description |
|---|
| KMeansPlusPlus | 0 |
Use the K-means++ algorithm to compute initial centroids.
This is the default.
|
| RandomCenters | 1 |
Use randomly selected observations as the centroid.
|
| Forgy | 1 |
Same as RandomCenters.
Use randomly selected observations as the centroid.
|
| RandomAssignments | 2 |
Assign each observation randomly to one of the clusters and uses the centroid
of each cluster.
|
Numerical Libraries
Supported in: 6.0, 5.x, 4.x
Reference