Machine Learning, Unsupervised Learning, Clustering, K Means.
object is to its own cluster (cohesion) compared to other clusters (separation). A score closer to 1 indicates that the object is well matched to its own cluster and poorly matched to neighboring clusters. A score closer to -1 indicates that the object is poorly matched to its own cluster and well