Week 7 — Lesson 1: K-Means, groups without labels

3 min

NorthPeak machines do not run the same way every day. Weekends are light, some days are heavy, and no column says which is which. Clustering finds such groups without a label. K-Means, the most common method, puts every row into one of k groups so that each row sits as close as possible to the centre of its group. On four scaled sensor columns with k = 3, it returns groups you can name idle, normal and heavy. This lesson explains the loop behind K-Means and how to read the groups it returns.

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This lesson is part of the “Week 7 — Clustering and neural networks” module

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