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