I was just looking for some information on ISOMAP . I had then hit by the terms PCA and MDA a multiple times that i decided to give it a good glance . Though i am looking for somehting on machine learning , currently i am into a work with one of my professors who wants to implement AI into some kind of pattern recognition in flow cytometry.
So I have started looking at these topics and i am really amazed at the statistics involved in pattern recognition. So i just give a link here to a tutorial that provides a very clear explanation about PCA method of reduction of high dimentional data.
Hope it amuses some of you too