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/Ridge-Regression.md

@@ -126,10 +126,10 @@ for a in alphas:
 **기본값**: `RidgeCV` with log-spaced alpha grid + StandardScaler.
 
 ## 🔗 Graph
-- 부모: [[Linear-Regression]] · [[Regularization]]
-- 변형: [[Lasso-Regression]] · [[Elastic-Net]] · [[Kernel-Ridge]]
-- 응용: [[Feature-Engineering]] · [[Bias-Variance-Tradeoff]]
-- Adjacent: [[Singular-Value-Decomposition]] · [[Bayesian-Linear-Regression]]
+- 부모: [[Linear-Regression]] · [[L1-and-L2-Regularization|Regularization]]
+- 변형: [[Elastic-Net]]
+- 응용: [[Feature Engineering|Feature-Engineering]] · [[Bias vs Variance|Bias-Variance-Tradeoff]]
+- Adjacent: [[Singular-Value-Decomposition]]
 
 ## 🤖 LLM 활용
 **언제**: Tabular regression 의 strong baseline. Multicollinear features (correlated predictors) 의 시. p > n 의 high-dim setting. Linear model interpretability 의 keep.