Computes the results of the K-Means algorithm in the first step of the distributed processing mode.
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- Parameters
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| fptype | Data type to use in intermediate computations of K-Means, double or float |
| method | Computation method of the algorithm, Method |
- Enumerations
- Method Computation methods for the K-Means algorithm
- InputId Identifiers of input objects for the K-Means algorithm
- ResultId Identifiers of results of the K-Means algorithm
- Aliases
Distributed_Step1LocalFloat64LloydCSR is an alias of Distributed(step=daal.step1Local, fptype=float64, method=daal.algorithms.kmeans.lloydCSR)
Distributed_Step1LocalFloat64LloydDense is an alias of Distributed(step=daal.step1Local, fptype=float64, method=daal.algorithms.kmeans.lloydDense)
Distributed_Step1LocalFloat32LloydCSR is an alias of Distributed(step=daal.step1Local, fptype=float32, method=daal.algorithms.kmeans.lloydCSR)
Distributed_Step1LocalFloat32LloydDense is an alias of Distributed(step=daal.step1Local, fptype=float32, method=daal.algorithms.kmeans.lloydDense)
Distributed_Step2MasterFloat64LloydCSR is an alias of Distributed(step=daal.step2Master, fptype=float64, method=daal.algorithms.kmeans.lloydCSR)
Distributed_Step2MasterFloat64LloydDense is an alias of Distributed(step=daal.step2Master, fptype=float64, method=daal.algorithms.kmeans.lloydDense)
Distributed_Step2MasterFloat32LloydCSR is an alias of Distributed(step=daal.step2Master, fptype=float32, method=daal.algorithms.kmeans.lloydCSR)
Distributed_Step2MasterFloat32LloydDense is an alias of Distributed(step=daal.step2Master, fptype=float32, method=daal.algorithms.kmeans.lloydDense)
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- Variant 1
Constructs a K-Means algorithm
- Parameters
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| nClusters | Number of clusters |
| assignFlag | Flag to calculate partial assignment |
- Variant 2
Constructs a K-Means algorithm
- Parameters
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| nClusters | Number of clusters |
| assignFlag | Flag to calculate partial assignment |
- Variant 3
Constructs a K-Means algorithm by copying input objects and parameters of another K-Means algorithm
- Parameters
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| other | An algorithm to be used as the source to initialize the input objects and parameters of the algorithm |
| def checkFinalizeComputeParams |
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Returns a pointer to the newly allocated K-Means algorithm with a copy of input objects and parameters of this K-Means algorithm
- Returns
- Pointer to the newly allocated algorithm
Invokes computations and returns partial result
| def finalizeCompute |
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Finalizes computations and returns (final) result
Returns the method of the algorithm
- Returns
- Method of the algorithm
| def getPartialResult |
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Returns the structure that contains computed partial results
- Returns
- Structure that contains computed partial results
Returns the structure that contains the results of the K-Means algorithm
- Returns
- Structure that contains the results of the K-Means algorithm
| def setPartialResult |
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partialRes |
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Sets the structure that contains computed partial results
| def setResult |
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result |
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Registers user-allocated memory to store the results of the K-Means algorithm
- Parameters
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| result | Structure to store the results of the K-Means algorithm |
K-Means parameters structure
The documentation for this class was generated from the following file:
- algorithms/kmeans/__init__.py