Challenge: K-Means Clustering

Use k-means clustering to separate data points into three groups.

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The unsupervised machine learning algorithm KK-means clustering is a very popular algorithm in the world of data science. Even with little information about the data, it’s a fast and efficient algorithm for categorizing data points into groups.

Synthetically generated randomized data containing three separate point clusters is provided (see figure below). The cluster centers, represented as crosses, are also randomly initialized.

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