zhongwei/gh-jeremylongshore-claude-code-plugins-plus-plugins-ai-ml-clustering-algorithm-runner
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Zhongwei Li
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# 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.