tf.raw_ops.KMC2ChainInitialization
Returns the index of a data point that should be added to the seed set.
tf.raw_ops.KMC2ChainInitialization(
distances, seed, name=None
)
Entries in distances are assumed to be squared distances of candidate points to
the already sampled centers in the seed set. The op constructs one Markov chain
of the k-MC^2 algorithm and returns the index of one candidate point to be added
as an additional cluster center.
Args |
|---|
distances
|
A Tensor of type float32.
Vector with squared distances to the closest previously sampled cluster center
for each candidate point.
|
seed
|
A Tensor of type int64.
Scalar. Seed for initializing the random number generator.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type int64.
|
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Last updated 2024-01-23 UTC.
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