Computes the results of K-Means algorithm in the batch 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 K-Means algorithm
- InputId Identifiers of input objects for K-Means algorithm
- ResultId Identifiers of results of K-Means algorithm
- Aliases
Batch_Float64LloydCSR
is an alias of Batch(fptype=float64, method=daal.algorithms.kmeans.lloydCSR)
Batch_Float64LloydDense
is an alias of Batch(fptype=float64, method=daal.algorithms.kmeans.lloydDense)
Batch_Float32LloydCSR
is an alias of Batch(fptype=float32, method=daal.algorithms.kmeans.lloydCSR)
Batch_Float32LloydDense
is an alias of Batch(fptype=float32, method=daal.algorithms.kmeans.lloydDense)
def __init__ |
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- Variant 1
Main constructor
- Parameters
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nClusters | Number of clusters |
nIterations | Number of iterations |
- Variant 2
Main constructor
- Parameters
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nClusters | Number of clusters |
nIterations | Number of iterations |
- Variant 3
Constructs 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 |
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
Returns the method of the algorithm
- Returns
- Method of the algorithm
Returns the structure that contains the results of K-Means algorithm
- Returns
- Structure that contains the results of K-Means algorithm
def setResult |
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result |
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Registers user-allocated memory to store the results of K-Means algorithm
- Parameters
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result | Structure to store the results of K-Means algorithm |
K-Means parameters structure
The documentation for this class was generated from the following file:
- algorithms/kmeans/__init__.py