umap-learn
について
UMAP次元削減。高次元データ向けの高速非線形多様体学習により、2D/3D可視化やクラスタリング前処理(HDBSCAN)、教師あり/パラメトリックUMAPを実現。
クイックインストール
Claude Code
推奨/plugin add https://github.com/K-Dense-AI/claude-scientific-skillsgit clone https://github.com/K-Dense-AI/claude-scientific-skills.git ~/.claude/skills/umap-learnこのコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします
GitHub リポジトリ
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