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Unsupervised Learning

Clustering, mixture models and EM, PCA and SVD, manifold embeddings, and density estimation.

4concepts
62flashcards
30minutes of reading
Start with K-Means and Its Assumptions Drill the deck
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  1. 01 K-Means and Its Assumptions Lloyd's algorithm is coordinate descent on a squared-error objective, which explains why it always converges, why it converges to the wrong answer without careful seeding, and the exact cluster shapes it cannot represent. beginner 7m 16 cards