k-Means Clustering

Wed, 01 Jan 2020 00:00:00 +0000

The k-means algorithm is used to divide unlabeled data into categories or classes, in order to draw useful conclusions from the resulting clusters.

Let’s take a look at an imaginary dataset of n = 18 observations of different coffee brands. Note that we would never actually use the k-means algorithm on such a small dataset.

We plot the price of the coffee vs. the rating obtained by customers:

Clustering on Gabriel Berardi

k-Means Clustering