OPTICS

OPTICS

A model type for constructing a optics, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

OPTICS = @load OPTICS pkg=MLJScikitLearnInterface

Do model = OPTICS() to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in OPTICS(min_samples=...).

OPTICS (Ordering Points To Identify the Clustering Structure), closely related to `DBSCAN', finds core sample of high density and expands clusters from them. Unlike DBSCAN, keeps cluster hierarchy for a variable neighborhood radius. Better suited for usage on large datasets than the current sklearn implementation of DBSCAN.