General settings

DSS can help you choose your clustering settings automatically. This was done when you first created the model.

If you choose to redetect appropriate settings, all your current settings will be overwritten.

Sampling

If your dataset does not fit in your RAM, you may want to extract a sample on which clustering will be performed

Metadata

Optional. Informative labels for the model. The model:algorithm, model:date, model:name, trainDataset:dataset-name, testDataset:dataset-name labels, evaluation:date and evaluationDataset:dataset-name are automatically added.