DBSCAN
Machine Learning
A metric for evaluating clustering algorithms based on the average similarity between clusters.
Detailed Explanation
The Davies-Bouldin Index is a clustering evaluation metric that measures the average similarity between each pair of clusters. It considers the compactness within clusters and the separation between them, with lower values indicating better-defined, distinct clusters. This index helps determine the optimal number of clusters and assess clustering quality in machine learning applications.
Use Cases
- •Use case: Selecting the optimal number of clusters in customer segmentation for targeted marketing strategies.
Related Terms
Other terms in the Machine Learning category