Data Science, Artificial Intelligence, Open Data, Open Source, Data Vizualisation.
selection , hue = model.labels_ , palette = npsTemp ).legend_.remove() # label y axis with feature name plt.ylabel(col) plt.show() plotViolins(diabetesDataScaled, km3, plotCols = 5) Histograms Violin plots show the distribution of each feature within each cluster, but it is also helpful to look at