Package index • emeans

Train

Fit e-means and use the result like a kmeans() fit.

emeans(): Fit e-means clustering
predict(<emeans>) fitted(<emeans>) print(<emeans>) summary(<emeans>) print(<summary.emeans>): Methods for e-means fits

Train one batch at a time

Experimental functions for data that will not fit in memory, where you load the batches and the model runs the same algorithm as emeans().

em_begin() em_accumulate() em_update() em_end_epoch() em_finalize() em_centers() print(<em_state>): Caller-driven e-means training

Tidymodels

Broom-style methods and the tidyclust k_means() engine.

tidy(<emeans>) glance(<emeans>) augment(<emeans>): Tidy, glance and augment methods for emeans fits
extract_fit_summary(<emeans>): Summary of an emeans fit for tidyclust
extract_cluster_assignment(<emeans>): Cluster assignments of an emeans fit for tidyclust

Package

emeans-package: emeans: E-Means Clustering, a Fast Mini-Batch Alternative to K-Means