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/AI_and_ML/Sparse-Data-Handling.md

@@ -201,10 +201,10 @@ def sparsity_report(X):
 **기본값**: scipy CSR + sklearn pipeline; tabular missing 매 LightGBM native.
 
 ## 🔗 Graph
-- 부모: [[Data-Engineering]] · [[Feature-Engineering]]
-- 변형: [[Sparse-Matrix]] · [[Imputation]] · [[Feature-Hashing]]
+- 부모: [[Data-Engineering]] · [[Feature Engineering|Feature-Engineering]]
+- 변형: [[Sparse-Matrix]] · [[Imputation]]
 - 응용: [[TF-IDF]] · [[One-Hot-Encoding]] · [[Recommender-Systems]]
-- Adjacent: [[L1-Regularization]] · [[Lasso]] · [[LightGBM]] · [[Factorization-Machines]]
+- Adjacent: [[Lasso]] · [[LightGBM]]
 
 ## 🤖 LLM 활용
 **언제**: 매 imputation strategy rationale, 매 sparse pipeline scaffolding, 매 missingness mechanism (MCAR/MAR/MNAR) 의 explain.