Principal Component Analysis and Fashion

###To Use

• Find a bunch of images (I used images of dresses from Amazon).
• Put the ones that match your style in the "like" folder, and the others in the "dislike" folder
• In terminal, run

python visuals.py

###Results

You'll see the principal components in the "eigendresses" folder (examples shown are from my dataset; yours will be different).

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In the "history" folder, you'll see a known dress being rebuilt from its components.

In the "recreatedDresses" folder, you can see just the end product of this process for different dresses.

In the "notableDresses" folder, you'll see the prettiest dresses, the ugliest dresses, the most extreme dresses (those that had high scores on many components), etc.

In the "createdDresses" folder, you'll find completely new dresses that were made from choosing random values for the principal components.

Blog post

Joel Grus's blog post