How can I use the PCA function to find the principle components of a variable?
2 次查看(过去 30 天)
显示 更早的评论
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!
0 个评论
回答(1 个)
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.
0 个评论
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!