What does 'silhouette score' represent in cluster analysis?
- The average size of the clusters
- The distance between clusters
- The level of similarity within clusters and dissimilarity between clusters
- The number of clusters
The silhouette score is a measure of the similarity of an object to its own cluster (cohesion) compared to other clusters (separation). It represents how similar an object is to its own cluster compared to other clusters. The score ranges from -1 to 1, with high values indicating that the object is well matched to its own cluster and poorly matched to neighboring clusters.
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