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diff --git a/01 Library/11 Machine Learning/Метрические алгоритмы.md b/01 Library/11 Machine Learning/Метрические алгоритмы.md
index 3676c99..68182a9 100644
--- a/01 Library/11 Machine Learning/Метрические алгоритмы.md	
+++ b/01 Library/11 Machine Learning/Метрические алгоритмы.md	
@@ -4,7 +4,7 @@ type: concept
 tags:
   - ml
 created: 2026-02-26
-updated: 2026-02-27
+updated: 2026-04-21
 title: Метрические Алгоритмы
 ---
 
@@ -21,8 +21,6 @@ title: Метрические Алгоритмы
 
 ## Краткая Справка О Библиотеке Scikit-learn
 
-<!-- Изображение удалено -->
-
 > [**Scikit-learn**](https://scikit-learn.org/stable/index.html) - это библиотека машинного обучения с открытым исходным кодом для языка программирования Python. Она предоставляет простые и эффективные инструменты для предобработки данных, машинного обучения и анализа данных.
 
 **Особенности:**
@@ -156,8 +154,6 @@ $$\{(x_1, y_1), (x_2, y_2), ..., (x_n, y_n)\}=\{(x_i, y_i)\}_{i=1}^n$$
 * Неотрицательности: $\rho(x_i, x_j) >= 0$
 * Симметричности: $\rho(x_i, x_j) = \rho(x_j, x_i)$.
 
-<!-- Изображение удалено -->
-
 **Алгоритм:**
 
 Чтобы определить класс $\hat{y}(x_t)$ для нового объекта $x_t$ нужно: