using 'als' algorithm in pca

1 次查看（过去 30 天）
Sagar
Sagar 2015-7-9
编辑： Sagar 2015-7-9
I am doing PCA using 'als' algorithm as below. When I specify a specific number of components (1 here), the 'explained' term gives 100% as explained variance. How is it possible? Shouldn't be there more than one components as I have more than 1 variables? Shouldn't the explained give the percentage of variance explained by the first component only?
However, When I use 'eig' as the algorithm, it gives the percentage variance explained by each components, which I expected. Could someone explain this?
[COEFF, SCORE, latent, tsquared, explained, mu1] = pca (combined_aod_wind_raw, 'Centered', 'off', 'numcomponents', 1, 'Algorithm', 'als');

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 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