Generate dataset blobs

Generates an artificial dataset useful for testing clustering algorithms

Configuration:

• n_samples

  The total number of points equally divided among clusters.

• n_features

  The number of features for each sample.

• centers

  Number of clusters.

• cluster_std

  Standard deviation of the clusters.

• center_min

  Smallest allowed coordinate for the generated centers

• center_max

  Largest allowed coordinate for the generated centers

• shuffle

  Shuffle datapoints (otherwise given in cluster order)

Inputs: Outputs:

X : table

X

Y : table

Y

Output ports:

X:

table

X

Y:

table

Y

Configuration:

n_samples

The total number of points equally divided among clusters.

n_features

The number of features for each sample.

centers

Number of clusters.

cluster_std

Standard deviation of the clusters.

center_min

Smallest allowed coordinate for the generated centers

center_max

Largest allowed coordinate for the generated centers

shuffle

Shuffle datapoints (otherwise given in cluster order)

class node_io.MakeBlobs