olemus
meetod tugevate mustrite leidmiseks uuritavas andmekogumis
(K. Pearson, 1901), hõlbustab andmete uurimist ja
visualiseerimist, võimaldab vähendada mõõtmelisust;
teisendab andmed, milles on korreleeritud muutujaid,
saades korreleerumata muutujad, st peakomponendid
= a statistical procedure that allows to summarize the information content in large data tables by means of a smaller set of summary indices that can be more easily visualized and analyzed

rakendusi
biomeetria, pilditöötlus, muud toorandmete tihendamise alad

ülevaateid
https://www.youtube.com/watch?v=BfTMmoDFXyE

https://www.youtube.com/watch?v=f9mZ8dSrVJA

https://en.wikipedia.org/wiki/Principal_component_analysis

https://www.cs.princeton.edu/picasso/mats/PCA-Tutorial-Intuition_jp.pdf

http://wpage.unina.it/cafiero/books/pc.pdf

infoturbes
http://blog.davidvassallo.me/2015/10/28/data-mining-firewall-logs-principal-component-analysis/

http://web.cs.ucdavis.edu/~vemuri/papers/pcaVisualization.pdf

https://www.napier.ac.uk/~/media/worktribe/output-982950/insider-threat-detection-using-principal-component-analysis-and-self-organising-map.pdf

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.75.6661&rep=rep1&type=pdf