FAQ: K-Means Clustering - Implementing K-Means: Step 1

wiki-bot · October 25, 2018, 10:13pm

This community-built FAQ covers the “Implementing K-Means: Step 1” exercise from the lesson “K-Means Clustering”.

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This exercise can be found in the following Codecademy content:

Data Science

Machine Learning

FAQs on the exercise Implementing K-Means: Step 1

We learned about the first step in K-Means Clustering, which is the placement of k random centroids for the initial clusters. Is it possible for more than one of these centroids to be generated at the same point?

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core4949406651 · June 13, 2020, 6:44pm

Why did we use centroids=np.array(list(zip(centroid_x, centroid_y))). I mean to say that why do we need to convert the zip object to a list and then to an array why can’t we directly convert it into an array?

object2161442840 · September 20, 2020, 4:58am

I think it’s because they want the inside of the data to be visible when we run print(centroids).