pyclustering
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pyclustering is a Python, C++ data mining library.
``` platform: Arch Linux gcc version 12.1.1 20220730 (GCC) ``` When buildling package, gcc throws error: ``` In file included from src/cluster/bsas.cpp:10: ./include/pyclustering/cluster/bsas.hpp:92:44: error: 'numeric_limits' is not a member of...
`from pyclustering.cluster.kmeans import kmeans, kmeans_visualizer from pyclustering.cluster.center_initializer import kmeans_plusplus_initializer from pyclustering.samples.definitions import FCPS_SAMPLES from pyclustering.utils import read_sample samples = read_sample(FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS) initial_centers = kmeans_plusplus_initializer(samples, 2).initialize() kmeans_instance = kmeans(samples, initial_centers) kmeans_instance.process() clusters...
There is an "e" missing in the word "pyclustring" in the repository description. It should say "PyClustering" instead of "pyclustring". 
Is there any docker image available in docker hub for running pyclustering ?
As mentioned in issue #671, a type error is raised when using certain distance functions with numpy. Seems like it's just an issue of a list not being converted to...
Hi sorry but I think I found a massive bug in the code. For some reason when I call predict on the model it gives me back the following: ...
The algorithms in this package do not seem to react to interrupt signals (e.g. through the command `kill` in linux or through the jupyter interrupt button). Would be nice if...
modified: rock.py Correcting the error described in [issue 680](https://github.com/annoviko/pyclustering/issues/680).
I've investigated `pyclustering` to do time series clustering using custom metric, that is `dtw`. See below for the custom `metric` and the code. The result is that `pyclustering` stuck at...
Using both `display=False` and `display=True` results in same thing.  It's just ugly that `kmeans_visualizer.show_clusters` display image two times. I would prefer user to be able to use ``` visualizer.append_clusters(clusters,...