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文件名称:k_means
介绍说明－－下载内容来自于网络，使用问题请自行百度
主成分分析（Principal Component Analysis，PCA）， 是一种统计方法。通过正交变换将一组可能存在相关性的变量转换为一组线性不相关的变量，转换后的这组变量叫主成分。(It is a statistical method. Through orthogonal transformation, a set of variables that can be correlated can be transformed into a group of linearly irrelevant variables. The transformed variables are called principal components.)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| Ch13\.gitignore | 9 | 2015-12-31 |
| Ch13\extras\createFig1.py | 670 | 2015-12-31 |
| Ch13\extras\createFig2.py | 408 | 2015-12-31 |
| Ch13\extras\createFig3.py | 1867 | 2015-12-31 |
| Ch13\extras\createFig4.py | 800 | 2015-12-31 |
| Ch13\iris.data.txt | 4551 | 2015-12-31 |
| Ch13\pca.py | 1284 | 2015-12-31 |
| Ch13\secom.data | 5389983 | 2015-12-31 |
| Ch13\testSet.txt | 19472 | 2015-12-31 |
| Ch13\testSet3.txt | 22076 | 2015-12-31 |
| Ch13\extras | 0 | 2017-12-20 |
| Ch13 | 0 | 2017-12-20 |