And, yes, the answer seems to be she likes those. We can’t be absolutely sure, but it looks like she likes the high, soaring intensity songs, and she’s not a big fan of light songs
Now I’m going to show you another set of data that won’t work out quite so perfectly, but you can see how k-means clustering is still. And the type of data that I’ll use in this example is uniform points. This is what uniform points look like. It’s just scattered everywhere. So I wouldn’t look
One of the things that’s immediately apparent once I start assigning my centroids, with these colored regions, is how all the points are going to be associated with one of the centroids, with one of the clusters. So you can see that the blue is probably already in reasonably good shape. I would say that
And I hope you said three, it’s pretty obvious that there should be three centroids here. So let’s add three, one, two, three. So they’re all starting out right next to each other, but we’ll see how as the algorithm progresses, they end up in the right place.