understending PCA final components

조회 수: 2 (최근 30일)
Dany
Dany 2015년 1월 14일
댓글: Dany 2015년 1월 14일
Hi, i have a question about PCA results. if i am analysing tidal data record using PCA i am getting first two PC's that look the same, the only difference is that they have a slight phase shift. when i plot them with a scatter plot, each one of them on a different axis i get almost a perfect circle. the longer my data record is, the more this circle becomes perfect.
can someone explain what does it mean? does it mean anything at all? if this is not the place for this question maybe you can redirect me to a different forum.
thank you. Dany
  댓글 수: 2
Adam
Adam 2015년 1월 14일
I'm not an expert on PCA, but if you get two components almost equally dominant (by score) giving you close to a circle that suggests your data is not dominantly correlated in any particular direction and is fairly random with respect to those two dominant components.
The components should always be orthogonal to each other though which would tend to give you a circle if they are close to equal.
Dany
Dany 2015년 1월 14일
ok, thank you Adam.

댓글을 달려면 로그인하십시오.

답변 (0개)

카테고리

Help CenterFile Exchange에서 Dimensionality Reduction and Feature Extraction에 대해 자세히 알아보기

태그

제품

Community Treasure Hunt

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

Start Hunting!

Translated by