The Silhouette Score is a useful tool for checking how well your clusters are doing.

It can score anywhere from -1 to 1, and here’s what those scores mean:

• 1 means the clusters are very distinct from each other.
• 0 means the clusters overlap a bit.
• -1 means that some items might be in the wrong cluster.

A higher Silhouette Score usually means your clusters are clearer and better. This score can help you adjust settings or pick the best method for clustering.

Think of it as a quick way to see how well your clustering is working!