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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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/raw_ops/KMC2ChainInitialization
