Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

KMC2ChainInitialization

public final class 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.

Public Methods

Output <Long>
asOutput ()
Returns the symbolic handle of a tensor.
static KMC2ChainInitialization
create ( Scope scope, Operand <Float> distances, Operand <Long> seed)
Factory method to create a class wrapping a new KMC2ChainInitialization operation.
Output <Long>
index ()
Scalar with the index of the sampled point.

Inherited Methods

Public Methods

public Output <Long> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static KMC2ChainInitialization create ( Scope scope, Operand <Float> distances, Operand <Long> seed)

Factory method to create a class wrapping a new KMC2ChainInitialization operation.

Parameters
scope current scope
distances Vector with squared distances to the closest previously sampled cluster center for each candidate point.
seed Scalar. Seed for initializing the random number generator.
Returns
  • a new instance of KMC2ChainInitialization

public Output <Long> index ()

Scalar with the index of the sampled point.