Pca Graph. This video introduces principal component analysis or pca which is new in prism 9. We finally define the principal components analysis pca of a graph as the subspace projection that preserves as much variance as possible in terms of the ectd.
It s a powerful tool used for exploratory analyses with large datasets. Follow along as we motivate pca with an example in prism. Draw the principal component analysis pca graphs plot the graphs for a principal component analysis pca with supplementary individuals supplementary quantitative variables and supplementary categorical variables.
Follow along as we motivate pca with an example in prism.
Pca is used in exploratory data analysis and for making predictive models. It s a powerful tool used for exploratory analyses with large datasets. Follow along as we motivate pca with an example in prism. Idea behind principal component analysis or pca preserving the variance.
