An **Eigenvector** of matrix A is a non-zero vector that only scales (doesn't change direction) when A acts on it (`Av=λv`). **Eigenvalue** (λ) is the scalar. Pro-Tip: Key for stability & system analysis!
An **Eigenvector** of matrix A is a non-zero vector that only scales (doesn't change direction) when A acts on it (`Av=λv`). **Eigenvalue** (λ) is the scalar. Pro-Tip: Key for stability & system analysis!
In PCA, eigenvalues represent the variance explained by each principal component, while eigenvectors determine the direction of these components, illustrating how the original variables are weighted.
More info in my online course: https://statisticsglobe.com/online-course-pca-theory-application-r
#DataScience #PCA #Eigenvalues #Eigenvectors #RProgramming #DataAnalysis
I plan my routes (hiking, running, cycling) using heatmaps of other people's trips in @Strava.
How can we prevent converging to an equilibrium where we just copy shitty routes from ready other? Does the answer involve #eigenvectors?