Defines algorithms that can be used to find optimal number of cluster using Silhouette method. More...
Public Member Functions | |
def | get_type (self) |
Returns algorithm type that corresponds to specified enumeration value. More... | |
Static Public Attributes | |
int | KMEANS = 0 |
K-Means algorithm for searching optimal number of clusters. More... | |
int | KMEDIANS = 1 |
K-Medians algorithm for searching optimal number of clusters. More... | |
int | KMEDOIDS = 2 |
K-Medoids algorithm for searching optimal number of clusters. More... | |
Defines algorithms that can be used to find optimal number of cluster using Silhouette method.
Definition at line 234 of file silhouette.py.
def pyclustering.cluster.silhouette.silhouette_ksearch_type.get_type | ( | self | ) |
Returns algorithm type that corresponds to specified enumeration value.
Definition at line 251 of file silhouette.py.
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static |
K-Means algorithm for searching optimal number of clusters.
Definition at line 243 of file silhouette.py.
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static |
K-Medians algorithm for searching optimal number of clusters.
Definition at line 246 of file silhouette.py.
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static |
K-Medoids algorithm for searching optimal number of clusters.
Definition at line 249 of file silhouette.py.