Generate dataset blobs

../../../../_images/dataset_blobs.svg

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[source]