k-means-constrained
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joshlk
K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained
**Describe the bug** error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/ [end of output] note: This error originates from a subprocess,...
The scikit-learn KMeans algorithm allows support for supplying a weight for each sample in the fit function. See the docs [here](https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans.fit). Is this possible to add into the algorithm? i.e....
Hello! I was hoping to use your package on k-means-constrained in order to get equal cluster sizes. However, I have run into the issue where different python packages need different...
Hello everyone ! Is it possible to add a second constrained related with the sum of attributes of each features? Best regards, Orlando
Hello, I used k-means-constrained library to cluster some points with a precomputed adjacency matrix. But I faced a wrong clustering. The project and further explanations are available in this link....
Hi, I successfully installed k_means_constrained with pip but when I try to import it in python I get a segmentation fault error, as follows. _$ python3 Python 3.9.0 (default, Nov...
The current version of k-means-constrained uses the Euclidean distance to calculate the distance between points in the dataset. Issue #17 highlighted the potential to make this a customisable parameter, and...
Is it possible with this implementation to cluster using a custom distance matrix?
Hi, I'm having some trouble importing k-means-constrained. I've already downloaded but it seems that I'm missing somenthing: `Requirement already satisfied: k-means-constrained in c:\apps\anaconda\lib\site-packages (0.7.3) Requirement already satisfied: ortools>=9.4.1874 in c:\apps\anaconda\lib\site-packages...
