An illustrative example of clustering – Predictions Don’t Grow on Trees, or Do They?

Marilyn Maha Posted in Certification Exams of Data Science, Data Science Certification Exams, Introducing ML, On the more formal side of things, Performing naïve Bayes classification, Understanding decision treesLeave a Comment on An illustrative example of clustering – Predictions Don’t Grow on Trees, or Do They?

An illustrative example of clustering Imagine that we have data points in a two-dimensional space, as seen in Figure 11.11: Figure 11.11 – A mock dataset to be clustered Each dot is colored gray to assume no prior grouping before applying the k-means algorithm. The goal here is to eventually color in each dot and […]