Media Summary: Running and interpreting hierarchical and k-means cluster analyses. Review the main aspects of PCA theory, and then try a few PCA examples using both R and Python. This This primer offers a brief introduction to the intuition and interpretation of regression models. We cover concepts such as variance, ...
Multivariate Statistics Module 8 Lecture - Detailed Analysis & Overview
Running and interpreting hierarchical and k-means cluster analyses. Review the main aspects of PCA theory, and then try a few PCA examples using both R and Python. This This primer offers a brief introduction to the intuition and interpretation of regression models. We cover concepts such as variance, ... Chapter 8.4 Bayes discriminant rule. If the populations are not approximately equally represented in the test or training sets, then ... Here we shall discuss computational aspects of partial correlation. Actual hands-on computation will come in the next video. Chapter 8.3 LDA with two populations. In the case where there are just two populations, the linear discriminant rules take a ...
Chapter 8.5 LDA in R. Linear discriminant
