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In pyclustering/cluster/kmedians.py the squared euclidean distance metric is used by default, whereas K-medians works with regular euclidean distances. In addition, the @brief docstring for __update_clusters() mentions using Manhattan distance, whereas it is clearly not used (and should not be, for K-medians).
The text was updated successfully, but these errors were encountered:
In
pyclustering/cluster/kmedians.py
the squared euclidean distance metric is used by default, whereas K-medians works with regular euclidean distances. In addition, the @brief docstring for__update_clusters()
mentions using Manhattan distance, whereas it is clearly not used (and should not be, for K-medians).The text was updated successfully, but these errors were encountered: