K Means Clustering, Hierarchical Clustering, Machine Learning, Dendrogram, Silhouette Score.
-1 to 1. A value close to 1 indicates that the data point is well-matched to its assigned cluster and is relatively far from neighboring clusters. This suggests a good clustering result. A value close to 0 indicates that the data point is on or very close to the decision boundary between two