Feature functionality
Following the scikit-learn API as much as possible, introduce a metrics module and include standard validation metrics to evaluating the performance of our clustering algorithms (KMeans, KMedians, KMedoids, and Spectral Clustering) on large memory-distributed datasets.
Requested functions include:
Additional context
Requested by @dcolombo and @LarsvE568 at the Argelander Institut, University of Bonn. Tagging @brownbaerchen and @Shabasovich who are involved in the project
Feature functionality
Following the scikit-learn API as much as possible, introduce a
metricsmodule and include standard validation metrics to evaluating the performance of our clustering algorithms (KMeans, KMedians, KMedoids, and Spectral Clustering) on large memory-distributed datasets.Requested functions include:
Additional context
Requested by @dcolombo and @LarsvE568 at the Argelander Institut, University of Bonn. Tagging @brownbaerchen and @Shabasovich who are involved in the project