Resolved: Kmean Clustering with principle components
I heard the term "orthogornal" in the last part of this titled video explanation. Could you explained the term and concept in more detail on these components? Thanks Sir.
thanks for reaching out! Great question. Orthogonality is a term from linear algebra. Orthogonal basis vectors have some nice properties, which is in part why the PCA approach is useful. You can check out the precise definition here:
In our linear algebra course we discuss basis vectors and dot product, thought we don't cover orthogonality in detail, as it is a bit more advanced.
Let me know if you have any other questions!