From 748dedec974fcb535278085a97b5ca5864bf8060 Mon Sep 17 00:00:00 2001
From: cy <939601402@qq.com>
Date: Sun, 20 Oct 2024 18:13:01 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=20function.py?=
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---
 function.py | 19 +------------------
 1 file changed, 1 insertion(+), 18 deletions(-)

diff --git a/function.py b/function.py
index cdce729..7ebb0c9 100644
--- a/function.py
+++ b/function.py
@@ -28,21 +28,8 @@ id = "202210423117"
 name = "程悦"
 
 
-def normalize(data):
-    """
-    对数据进行归一化处理，将数据缩放到 [0, 1] 范围内。
-    
-    Args:
-    - data (numpy array): 待归一化的数据。
 
-    Returns:
-    - numpy array: 归一化后的数据。
-    """
-    min_val = data.min(axis=0)
-    max_val = data.max(axis=0)
-    return (data - min_val) / (max_val - min_val + 1e-10)  # 避免除以零
-
-def classify(input_vector, dataSet, labels, k=2):
+def classify(input_vector, dataSet, labels, k=9):
     """
     KNN 分类算法，添加了数据归一化处理。
 
@@ -55,10 +42,6 @@ def classify(input_vector, dataSet, labels, k=2):
     Returns:
     - int: 预测的分类标签。
     """
-    # 归一化训练数据集和输入向量
-    dataSet = normalize(dataSet)
-    input_vector = normalize(input_vector)
-
     dataSet_size = dataSet.shape[0]
     # 计算欧氏距离
     diff_mat = np.tile(input_vector, (dataSet_size, 1)) - dataSet