Data Generator

Creates random data containing some clusters for Parallel Universes. The data contains a certain fraction of noise patterns and data that is generated to clusters (all clusters have the same size). The data is normalized in [0, 1].

Options

Cluster count

Comma-separated list defining the number of clusters to generate in each universe (e.g., "2, 3" creates 2 clusters in the first universe and 3 in the second).

Universe sizes

Comma-separated list specifying the number of attributes (dimensions) for each universe (e.g., "2, 3" means first universe has 2 attributes, second has 3).

Pattern count

Total number of data patterns to generate across all clusters and universes.

Standard deviation

Controls the spread of data points within each cluster. Smaller values create tighter clusters.

Noise fraction

Proportion of randomly distributed data points that don't belong to any cluster. Value between 0 (no noise) and 1 (all noise).

Random seed

Fixed value to ensure reproducible data generation. Use the same seed to generate identical datasets.

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Workflows

• _generate_aMiniReportKNIME Hub
• 00a-KNIME_IntroductionKNIME Hub
• 01 - Simple Reporting Example (Execute on a Schedule)KNIME Hub
• 01_AnonymizerKNIME Hub
• 01_Big_Data_Preprocessing_ExampleKNIME Hub
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Links

• Should it be taking this long?by AnotherFraudUser on 2020-06-22

  forum.knime.com/p/95009

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