Counting clusters: part IV

Here's an example process that uses the operator "Map Clustering on Labels" to match labels to clusters. If the data already has labels, the operator allows the output from a clustering algorithm to be assessed. It compares labels and clusters and determines the best match. From this, the output is a prediction and this can be passed to a performance operator to allow a confusion matrix to be created.

This allows a clustering algorithm to be used for prediction if training examples are available.