更新 function.py

function.py

@@ -41,16 +41,20 @@ name = "李劲"
 """
 
   
-def classify(input_vector, dataSet, labels, k=3):  
-    cov_matrix = np.cov(dataSet, rowvar=False)  
-    inv_cov_matrix = np.linalg.inv(cov_matrix)  
+# 计算欧氏距离  
     diffMat = dataSet - input_vector  
-    left_term = np.dot(diffMat, inv_cov_matrix)  
-    mahalanobis_distances = np.sqrt(np.sum(left_term * diffMat, axis=1))  
-    k_indices = np.argsort(mahalanobis_distances)[:k]  
+    euclidean_distances = np.sqrt(np.sum(diffMat ** 2, axis=1))  
+  
+    # 获取距离最近的 k 个样本的索引  
+    k_indices = np.argsort(euclidean_distances)[:k]  
+      
+    # 获取最近邻样本的标签  
     k_nearest_labels = [labels[i] for i in k_indices]  
+      
+    # 找出出现次数最多的标签  
     most_common = max(set(k_nearest_labels), key=k_nearest_labels.count)  
-    return most_common
+      
+    return most_common 
 
 def load_dataset(directory):  
     features = []