Tech Notes

My notes on Statistics, Big Data, Cloud Computing, Cyber Security

Tag Archives: dimensionality reduction

Principal Component Analysis

It is a way of identifying patterns in data, and expressing the data in such a way as to highlight their similarities and differences. Since patterns in data can be hard to find in data of high dimension, where the luxury of graphical  representation is not available, PCA is a powerful tool for analysing data. The other main advantage of PCA is that once you have found these patterns in the data, and you compress the data, ie. by reducing the number of dimensions, without much loss of information. This technique used in image compression Read more of this post