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.

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).

A Tensor of type int64.