Xionghaoran/Experiment-kNN
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更新 function.py
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Xionghaoran
2024-10-22 20:05:44 +08:00
parent afe2db0ff8
commit 1a4d853919
1 changed files with 5 additions and 4 deletions
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function.py
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@@ -98,9 +98,10 @@ def img_to_vector(filename):
if __name__ == "__main__": if __name__ == "__main__":
# 测试代码 # 加载训练数据
train_data, train_labels = load_dataset("trainingDigits") train_data, train_labels = load_dataset("trainingDigits")
# 测试数据
test_data = ( test_data = (
"00000000000000110000000000000000" "00000000000000110000000000000000"
"00000000000011111000000000000000" "00000000000011111000000000000000"
@@ -138,6 +139,6 @@ if __name__ == "__main__":
test_vector = np.array([int(char) for char in test_data]).reshape(1, 1024) test_vector = np.array([int(char) for char in test_data]).reshape(1, 1024)
# 使用默认的欧氏距离和不加权的投票机制 # 使用曼哈顿距离进行分类
predicted_label = classify(test_vector, train_data, train_labels) predicted_label = classify(test_vector, train_data, train_labels, distance_metric='manhattan')
print(f"预测的标签（普通分类）: {predicted_label}") print(f"预测的标签（曼哈顿距离）: {predicted_label}")