How can I use the PCA function to find the principle components of a variable?

3 次查看（过去 30 天）
Anna Vaculik
Anna Vaculik 2018-10-17
回答： Bernhard Suhm 2018-11-9
Hello, I am working on developing a 4D matrix that will have lat,lon,day,time for a months worth of temperature data. Can I simply say z=pca(goes_lst)? To break down the components within? Or is there a better way? Thank you!

请先登录，再回答此问题。

回答（1 个）

Bernhard Suhm
Bernhard Suhm 2018-11-9
You'll get the loadings for your variables. But think about whether applying PCA this way to your data makes sense. We'll expect time of day to explain a fair amount of the variability in temperature, the day will just reflect the weather patterns of that particular month (or the absence thereof). Latitude and longitude would explain climate differences in geographically quite separate areas. Think about what kind of model are you trying to develop, and whether or not you need preprocessing for that.

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

产品

Community Treasure Hunt

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

Start Hunting!

Translated by