更新 function.py

function.py

@@ -50,15 +50,24 @@ def classify0(inX, dataSet, labels,k=3):
     Returns:
     - int: 预测的分类标签。
     """
-    distances = [np.sqrt(np.sum((inX - x) ** 2)) for x in dataSet]  
+    dataSetSize = dataSet.shape[0]  
+    diffMat = np.tile(inX, (dataSetSize, 1)) - dataSet  
+    sqDiffMat = diffMat ** 2  
+    sqDistances = sqDiffMat.sum(axis=1)  
+    distances = sqDistances ** 0.5  
       
-    k_indices = np.argsort(distances)[:k]   
+    # 对距离进行排序，并获取索引  
-    k_nearest_labels = [labels[i] for i in k_indices]  
+    sortedDistIndicies = distances.argsort()  
-        
+      
-    from collections import Counter  
+    # 选择距离最小的k个点  
-    vote_result = Counter(k_nearest_labels).most_common(1)  
+    classCount = {}  
-       
+    for i in range(k):  
-    return vote_result[0][0]
+        voteIlabel = labels[sortedDistIndicies[i]]  
+        classCount[voteIlabel] = classCount.get(voteIlabel, 0) + 1  
+      
+    # 多数投票  
+    sortedClassCount = sorted(classCount.items(), key=lambda item: item[1], reverse=True)  
+    return sortedClassCount[0][0]
 
 def load_data(file_path):
     """