AgglomerativeClustering
AgglomerativeClustering
A model type for constructing a agglomerative clustering, based on MLJScikitLearnInterface.jl, and implementing the MLJ model interface.
From MLJ, the type can be imported using
AgglomerativeClustering = @load AgglomerativeClustering pkg=MLJScikitLearnInterface
Do model = AgglomerativeClustering()
to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in AgglomerativeClustering(n_clusters=...)
.
Recursively merges the pair of clusters that minimally increases a given linkage distance. Note: there is no predict
or transform
. Instead, inspect the fitted_params
.