Visualizing how your clusters are formed is no easy task when the number of variables/dimensions in your dataset is very large. There are two main methods that you can use in order to visualize how the clusters are distributed, as follows:
- t-SNE: This creates a map of the dataset in two-dimensional space
- Hierarchical clustering: This uses a tree-based visualization, known as a dendrogram, in order to create hierarchies
In this section, you will learn how to implement these visualization techniques, in order to create compelling cluster visuals.
