tf.raw_ops.KMC2ChainInitialization

Returns the index of a data point that should be added to the seed set.

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.