Parameters for the K-Means algorithm.
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- Enumerations
- DistanceType Methods for distance computation
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- Variant 1
Constructs parameters of the K-Means algorithm
- Parameters
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_nClusters | Number of clusters |
_maxIterations | Number of iterations |
- Variant 2
Constructs parameters of the K-Means algorithm by copying another parameters of the K-Means algorithm
- Parameters
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other | Parameters of the K-Means algorithm |
check(Parameter self) -> Status
Threshold for the termination of the algorithm
Do data points assignment
Distance used in the algorithm
Weight used in distance computation for categorical features
The documentation for this class was generated from the following file:
- algorithms/kmeans/__init__.py