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Data Mining - Principal Component Analysis (PCA) and Multidimensional Scaling (MDS) in 7 MINUTES

This video gives the key takeaways on the Curse of Dimensionality and two dimension reduction techniques: Principal Component Analysis and Multidimensional Scaling. Dimension reduction techniques can be used to tell us which variables in our data are most important. Principal Component Analysis (PCA) and Multidimensional Scaling (MDS) are useful data analysis techniques that every Statistican and Data Scientist ought to know. In this video, we go over the main ideas behind PCA and MDS in order to give an intuitive sense of the methods. 0:00 - The Curse of Dimensionality (COD) and "Dimension Reduction" 1:05 - Principal Components Analysis (PCA) 3:11 - Multidimensional Scaling (MDS)