Silhouette (clustering)

Silhouette clustering is a way to group similar items together. Imagine you have a bunch of items (like books) that need to be sorted into groups. Each book is like a person, and they all have different characteristics. These characteristics are like height, author, genre, etc. You want to group the books together so that books with similar characteristics are in the same group, or cluster.

Silhouette clustering is a way to figure out how well each item (or book) fits into each group. It does this by measuring how close each book is to the other books in its group compared to the other groups. If a book is closer to books in its group than books in other groups, then it belongs in that group. The silhouette score measures how close the books in a group are to each other. The higher the score, the better the cluster.