归一化主成分分析python

主成分分析(PCA)是一种用于降低数据集维度的方法，通过找出几个综合变量来代替原始的多个变量，使得这些综合变量尽可能地代表原始变量的信息且彼此互不相关。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [PCA主成分分析Python实现](https://blog.csdn.net/weixin_39616565/article/details/110277728)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [数据预处理相关Demo（缺失值、均值方差标准化、极差法归一化、主成分分析)](https://blog.csdn.net/baidu_39621090/article/details/124058620)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
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