Clustergam: visualisation of cluster analysis – Martin Fleischmann

In this post, I introduce a new Python package to generate clustergrams from clustering solutions. The library has been developed as part of the Urban Grammar research project, and it is compatible with scikit-learn and GPU-enabled libraries such as cuML or cuDF within RAPIDS.AI. When we want to do some cluster analysis to identify groups in our data, we often use algorithms like K-Means, which require the specification of a number of clusters. But the issue is that we usually don't know how many clusters there are. There are many methods on how to determine the correct number, like silhouettes or elbow plot, to name a few.