Cluster visualization

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.

t-SNE

The t-SNE is an abbreviation that stands for t-distributed stochastic neighbor embedding. The fundamental concept behind the t-SNE is to map a higher...