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Introduction
K-Means++ may return the same values (if data contains point with the same coordinates) and it breaks silhouette_ksearch algorithm because amount of allocated clusters is not equal to K that considers by the algorithm as wrong clustering and marks it as NaN.
Description
See failed test in CI.
The text was updated successfully, but these errors were encountered:
annoviko
changed the title
[pyclustering.cluster.silhouette_ksearch] The same centers or index centers
[pyclustering.cluster.center_initializer] The same centers or index centers
Mar 23, 2019
Introduction
K-Means++ may return the same values (if data contains point with the same coordinates) and it breaks silhouette_ksearch algorithm because amount of allocated clusters is not equal to K that considers by the algorithm as wrong clustering and marks it as NaN.
Description
See failed test in CI.
The text was updated successfully, but these errors were encountered: