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.
Preview — the rest of the lesson is for enrolled readers.
Your access is tied to your account, not to this link. Sign in with the same email you used in class: your course is waiting, no need to enter the code again.
Sign inNo account yet? Create oneThe first modules of the course are open to everyone. For the rest you have three options: buy this course once and for all, subscribe, or enter the code handed out in class.