How do I get proportion of variance?

10 次查看(过去 30 天)
I have eight variables and I want to know which one is important and I try to use principal component analysis and the one I get is the percentage? The following is my code and I really need proportion not percentage. Thanks in advance.
[COEFF, latent, explained] = pcacov(cov(out)); proportion = cumsum(latent)/sum(latent); figure pareto(latent)

采纳的回答

Nachiket Katakkar
Nachiket Katakkar 2017-2-24
Your calculation of proportion of variance seems to be correct. The following example highlights that:
% Example from pcacov documentation page
load hald
covx = cov(ingredients);
[COEFF,latent,explained] = pcacov(covx);
cumsum(latent/sum(latent))
ans =
0.8660
0.9789
0.9996
1.0000
pareto(latent)
You will observe that the pareto chart shows only 95% of the cumulative distribution and therefore, 2 columns will be displayed.
Note also that "pcacov" performs principal components analysis on the covariance matrix of the input so calling "cov" inside "pcacov" does not seem necessary.
  1 个评论
Sonisa
Sonisa 2017-2-24
I got it but I was looking for a way to do proportion of variance with respond to the independent variables to the dependent variables. Is there a way?

请先登录,再进行评论。

更多回答(0 个)

类别

Help CenterFile 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