Use scatter plots, heatmaps, or dendrograms to illustrate the relationships between data points within each cluster. Visualization aids in interpreting the cluster structure and identifying ...

You can pass the cluster labels as the hue argument to the scatter plot function, and customize the style, markers, and palette for your plot. Add your perspective Help others by sharing more (125 ...

The code above visualizes the clustering results with a scatter plot. Each data point is assigned a color based on its cluster, and the centroids are marked with a red 'X'. In the example, the Iris ...

A quick look at pairs of variables with scatter plot gives us what we need: Spending score and annual income make a perfect pair for clustering. df.plot.scatter(x='Spending Score (1-100)', y='Annual ...

Cluster analysis is an important technique in data analysis. However, there is no encompassing theory on scatterplots to evaluate clustering. Human visual perception is regarded as a gold standard to ...