Principal Component Analysis – Explained Visually by Victor Powell.
From the website:
Principal component analysis (PCA) is a technique used to emphasize variation and bring out strong patterns in a dataset. It’s often used to make data easy to explore and visualize.
Another stunning visualization (2D, 3D and 17D, yes, not a typo, 17D) from Explained Visually.
Probably not the top item in your mind on Valentine’s Day but you should bookmark it and return when you have more time. 😉
I first saw this in a tweet by Mike Loukides.
[…] Principal Component Analysis – Explained Visually by Victor Powell.From the website:Principal component analysis (PCA) is a technique used to emphasize variation and bring out strong patterns in a dataset. […]
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