using 'als' algorithm in pca

11 次查看（过去 30 天）

Sagar 2015-7-9

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/229269-using-als-algorithm-in-pca

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');