|View source on GitHub|
Tensorflow Gaussian mixture model clustering class.
tf.contrib.factorization.GmmAlgorithm( data, num_classes, initial_means=None, params='wmc', covariance_type=FULL_COVARIANCE, random_seed=0 )
||a list of Tensors with data, each row is a new example.|
||number of clusters.|
||a Tensor with a matrix of means. If None, means are computed by sampling randomly.|
||Controls which parameters are updated in the training process. Can contain any combination of "w" for weights, "m" for means, and "c" for covariances.|
||one of "full", "diag".|
||Seed for PRNG used to initialize seeds.|
|Exception if covariance type is unknown.|
Returns a list of Tensors with the matrix of assignments per shard.
Returns the clusters with dimensions num_classes X 1 X num_dimensions.
Returns the covariances matrices.
Returns the initialization operation.
Returns a boolean operation for initialized variables.
Returns the log-likelihood operation.
Returns the per-sample likelihood fo the data.
|Log probabilities of each data point.|
Returns the training operation.