5 Questions
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?
Non-negative Matrix Factorization (NMF)
Why are the constraints of k-Means considered strong?
They greatly restrict the shape of the factorization.
This quiz covers the concepts of k-Means and Non-negative Matrix Factorization (NMF), including their differences and applications. Topics include minimizing squared errors, cluster centers, and indicator matrices.
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