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.
