Wiki cleanup: error-doc removal, dedup merge, link normalization

10_Wiki/Topics 대규모 정리:
- 오류 캡처/미완성 stub 문서 227개 제거
- 교차폴더 중복 43클러스터 병합 (63파일 → redirect)
- 링크명 정규화: 깨진 링크 수정·redirect 직결·개념 매핑 ~2,400건
- 카테고리 MOC 6개 신규 생성
- Graph 섹션 미해결 related-keyword 링크 10,058건 제거

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

10_Wiki/Topics/Computer_Science_and_Theory/PCA-and-Dimension-Reduction.md

@@ -157,10 +157,10 @@ X_proj = rp.fit_transform(X)  # 매 Johnson-Lindenstrauss 보존
 **기본값**: 매 baseline PCA → 매 visualization UMAP → 매 representation learning contrastive.
 
 ## 🔗 Graph
-- 부모: [[Linear-Algebra-Foundations]] · [[Statistics]] · [[Unsupervised Learning]]
-- 변형: [[Kernel PCA]] · [[Sparse PCA]] · [[Probabilistic PCA]] · [[ICA]]
-- 응용: [[Visualization]] · [[scRNA-seq]] · [[Embedding Analysis]] · [[Feature Engineering]]
-- Adjacent: [[t-SNE]] · [[UMAP]] · [[Autoencoder]] · [[NMF]] · [[Random Projection]]
+- 부모: [[Linear-Algebra-Foundations]] · [[Statistics]]
+- 변형: [[ICA]]
+- 응용: [[Feature Engineering]]
+- Adjacent: [[t-SNE]] · [[UMAP]] · [[Autoencoder]]
 
 ## 🤖 LLM 활용
 **언제**: 매 embedding analysis, 매 anisotropy whitening, 매 visualizing high-dim attention/activations.