ClusteringAPI

A common interface for clustering data. The interface is composed of the abstract types:

• ClusteringAlgorithm
• ClusteringResult

which interplay with the functions:

• cluster
• cluster_number
• cluster_labels
• cluster_probs

To create new clustering algorithms simply create a new subtype of ClusteringAlgorithm that extends cluster so that it returns a new subtype of ClusteringResult. The result must extend cluster_number, cluster_labels and optionally cluster_probs.

Note that data input type must always be AbstractVector of vectors (anything that can have distance defined). Two helper functions each_data_point, input_data_size can help making this harmonious with matrix inputs.

For more, see the docstring of cluster.