Input objects for computing initials clusters for the K-Means algorithm in the second step of the distributed processing mode
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| def add |
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self, |
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id, |
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value |
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Adds a value to the data collection of input objects for computing initial centroids for the K-Means algorithm in the second step of the distributed processing mode
- Parameters
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| id | Identifier of the parameter |
| value | Pointer to the new parameter value |
| def check |
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self, |
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par, |
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method |
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Checks an input object for computing initial centroids for the K-Means algorithm in the second step of the distributed processing mode
- Parameters
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| par | Parameter of the algorithm |
| method | Computation method of the algorithm |
Returns an input object for computing initial centroids for the K-Means algorithm in the second step of the distributed processing mode
- Parameters
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| id | Identifier of the input object |
- Returns
- Input object that corresponds to the given identifier
| def getNumberOfFeatures |
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self | ) |
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Returns the number of features in the Input data table in the second step of the distributed processing mode
- Returns
- Number of features in the Input data table
| def set |
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self, |
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id, |
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ptr |
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) |
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Sets an input object for computing initial centroids for the K-Means algorithm in the second step of the distributed processing mode
- Parameters
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| id | Identifier of the input object |
| ptr | Pointer to the object |
The documentation for this class was generated from the following file: