Hey all! 
I have a question - why in Initializing K-Means lecture (ML Specialization > Unsupervised learning > Week 1 > Clustering) there is μ1, μ1, …, μk? Is it a typo and it should be μ1, μ2, …, μk or am I missing something?
Yes, you’re right! That seems to be a typo in the slide. The slide should actually read μ1, μ2, ..., μk instead of μ1, μ1, ..., μk. The fact that the slide says μ1 twice is probably a small error. But conceptually it should represent different initial centroids, μ1 through μk.
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