状态：已完成
【Python 代码】对提取的特征向量进行零均值归一化或L2范数标准化处理，确保数值稳定性
```python
import numpy as np
def normalize_features(features):
# 零均值归一化
mean = np.mean(features, axis=0)
normalized = features - mean
# L2范数标准化
l2_norms = np.linalg.norm(normalized, axis=0)
l2_norms[l2_norms == 0] = 1 # 避免除以零
normalized = normalized / l2_norms
return normalized
# 使用示例
# features = np.array([...]) # 输入特征向量
# result = normalize_features(features)
```