pyclustering
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annoviko
pyclustering is a Python, C++ data mining library.
This PR fixes the Issue [#696](https://github.com/annoviko/pyclustering/issues/696)
Is there any implementation about adding size constraints on the k-means?
The documentation of the elbow package suggests this is based on the reference Thorndike 1953: https://github.com/annoviko/pyclustering/blob/bf4f51a472622292627ec8c294eb205585e50f52/pyclustering/cluster/elbow.py#L4 https://github.com/annoviko/pyclustering/blob/bf4f51a472622292627ec8c294eb205585e50f52/docs/citation.bib#L552-L556 Yet, I cannot find the "Elbow length" equation used in this reference, in...
The last term, `p * 0.5 * log(N)`, should be in the sum only once IMHO. It is in the top BIC equation (j is the model index, not the...
Hi! I did this small PR to partly add support for compilation under `arm64`, I tested on a Linux machine with `arm64` architecture and it works! Some test fails due...
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...
