10 lines
671 B
Markdown
10 lines
671 B
Markdown
# References
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Bundled resources for clustering-algorithm-runner skill
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- [ ] kmeans_algorithm.md: Detailed explanation of the K-means algorithm, its parameters, and best practices.
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- [ ] dbscan_algorithm.md: Detailed explanation of the DBSCAN algorithm, its parameters, and best practices.
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- [ ] hierarchical_clustering.md: Detailed explanation of hierarchical clustering, its parameters, and best practices.
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- [ ] clustering_metrics.md: Explanation of various clustering metrics (silhouette score, Davies-Bouldin index) and how to interpret them.
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- [ ] data_preprocessing.md: Best practices for data preprocessing before clustering, including scaling and normalization.
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