3-1-2 衔接与拓展：从图像矩阵到文本向量

0416+2509165015/3.py

@@ -0,0 +1,11 @@
+import numpy as np
+feature_map1 = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]])
+feature_map2 = np.array([[1, 1, 1], [1, 0, 0], [1, 0, 0]])
+vector1 = feature_map1.flatten()  
+vector2 = feature_map2.flatten() 
+print("vector1:", vector1)
+print("vector2:", vector2)
+euclidean_dist = np.linalg.norm(vector1 - vector2)
+print(f"\n1. 欧几里得距离：{euclidean_dist:.4f}")
+cos_similarity = np.dot(vector1, vector2) / (np.linalg.norm(vector1) * np.linalg.norm(vector2))
+print(f"2. 余弦相似度：{cos_similarity:.4f}")