Proof that the computed Eigen Vectors is righ?t

1 次查看（过去 30 天）
Tanya
Tanya 2014-3-4
Hii all..
I am working in PCA to do Dimensionally Reduction. I already extract the eigen values and eigen vectors from the random distributed data (Normal Distribution data).
And I already plotted that 2 Principal Values (Eigen Vector 1 & Eigen Vector 2) along with my generated data (Normal distribution)..
My question is, how we can make sure that the eigen vectors are at right position?? I heard that we can project our data in that eigen vectors (consider that the eigen vector become the new coordinate axis) and the curve should filled the normal gaussian clue.. Which is, the center is the main and the spread of the curve is covariance..
Thankss

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 ROI-Based Processing 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