References

Bundled resources for clustering-algorithm-runner skill

kmeans_algorithm.md: Detailed explanation of the K-means algorithm, its parameters, and best practices.
dbscan_algorithm.md: Detailed explanation of the DBSCAN algorithm, its parameters, and best practices.
hierarchical_clustering.md: Detailed explanation of hierarchical clustering, its parameters, and best practices.
clustering_metrics.md: Explanation of various clustering metrics (silhouette score, Davies-Bouldin index) and how to interpret them.
data_preprocessing.md: Best practices for data preprocessing before clustering, including scaling and normalization.