Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1
Parameters for computing initial centroids for K-Means algorithm of the batch mode. More...
Public Member Functions | |
def | __init__ |
def | check |
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def | __init__ |
def | check |
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def | __init__ |
def | check |
Static Public Attributes | |
nTrials = ... | |
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nClusters = ... | |
nRowsTotal = ... | |
offset = ... | |
seed = ... | |
L = nClusters*oversamplingFactorpointsaresampledinaround. | |
nRounds = ... | |
engine = ... | |
def __init__ | ( | self, | |
args | |||
) |
Constructs parameters of the algorithm that computes initial centroids for K-Means algorithm by copying another parameters object
other | Parameters of K-Means algorithm |
def check | ( | self | ) |
check(Parameter self) -> Status
|
static |
Kmeans++ only. The number of trials to generate all clusters but the first initial cluster.
For more complete information about compiler optimizations, see our Optimization Notice.