Multidimensional data

principle component analysis 1. extend axes' 2. move to center of data 3. rotate PC1 until it shows most variance 4. PC2 perpendicular to PC1

![[Pasted image 20260225124745.png]]

Linear discriminant analysis (LDA) a linear combination of features that maximizes the separation between multiple classes while minimizing the variance within each class