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Refactor silhouette euclidean scaling to remove duplicate scan
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#30:
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Deduplicate functional sample_weight kwargs definitions
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Deduplicate functional sample_weight kwargs definitions
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Speed up GMM component sampling
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Optimize OPTICS neighbor loops and core-distance fast path
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Improve weighted sampling numerical stability and infinity handling
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Add Euclidean label assignment regression test
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Fix lints
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Optimize metric-specific KMeans assignment hot paths
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Add python API validation tests
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Harden shape validation against overflow across clustering modules
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Optimize weighted sampling hot path and tighten tests
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Optimize silhouette cluster index bookkeeping
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Harden BisectingKMeans constructor parameter validation
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Stabilize validation metric scaling and remove hot-loop finite guards
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Fix silhouette accumulation and noise-aware finite checks
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chore(deps): update rand requirement from 0.9 to 0.10
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chore(deps): update numpy requirement from 0.27.0 to 0.28.0
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Fix missing semicolon in kmeans.rs
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Avoid extra minibatch normalization allocations
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