17 - k-Means for Matrix Factorization
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Questions and Answers

What does k-Means aim to minimize?

squared errors

What is the role of the indicator matrix in k-Means?

It specifies which cluster a point belongs to.

How are the cluster centers calculated in k-Means?

They are the arithmetic mean of the assigned points.

What variant of matrix factorization is obtained when dropping constraints of k-Means?

<p>Non-negative Matrix Factorization (NMF)</p> Signup and view all the answers

Why are the constraints of k-Means considered strong?

<p>They greatly restrict the shape of the factorization.</p> Signup and view all the answers

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