The Principal Component Analysis (PCA) is a technique used in many fields: data science, signal processing, mechanics, etc. As a student of machine learning, I should take sometime to at least review this technique; and maybe ICA too, in some future posts.
This post is the summary of the paper: The accrual failure detector by
N. Hayashibara, X. Défago, and T.Katayama. In Proc. 23rd IEEE Intl. Symp. on Reliable
Distributed Systems (SRDS’04), pp. 66-78, Florianópolis, Brazil, October 2004. IEEE CS Press.