How to apply Principle Component Analysis on financial ratios to reduce dimensions.

1 次查看（过去 30 天）
e.a.
e.a. 2019-10-28
回答： Vimal Rathod 2019-10-31
Hello,
I have data set of financial ratios for 5 different companies during 5 years period. I will do another anaysis with the ratios but before that I want to extract the most important ratios to avoid uncessary variables in my future analysis. In order to do that I want to apply PCA into my data set but I am having trouble about preparing my dataset to apply PCA. I am noobie in matlab and also in statictics but I am working too hard to improve my skills. I would be glad if you can give me an advice where to start/how to start.
thanks in advance
  1 个评论
Adam
Adam 2019-10-28
doc pca
is the best place to start, if you have the Statistics toolbox, including any links it takes you to with examples, e.g. the 'Topics' at the bottom.

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Vimal Rathod
Vimal Rathod 2019-10-31
Hi,
You can check the documentation on “pca function” from MATLAB statistics toolbox and you just need to have raw numerical data to be passed into pca.
Refer to the following link for pca documentation:
https://www.mathworks.com/help/stats/pca.html
Refer to the following link for more information on dimensionality reduction:
https://www.mathworks.com/help/stats/dimensionality-reduction.html?s_tid=CRUX_lftnav

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Dimensionality Reduction and Feature Extraction 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by