The Davies-Bouldin Index is a metric used to evaluate the quality of clustering algorithms by quantifying the separation and compactness of clusters. A lower index value indicates better clustering performance, as it signifies that clusters are more distinct from each other and have tighter grouping of data points within each cluster. This index is especially useful in customer segmentation and targeting, helping businesses identify distinct customer groups effectively.
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