K-means clustering is a simple and effective way to cluster data points into two groups. This method is especially useful when the data set is not linearly separable.
The candidate's solution is correct and demonstrates a good understanding of the problem. The candidate has correctly identified that K-means clustering is the best algorithm to use for this problem and has correctly identified that two clusters are required.
Evaluated at: 2022-11-06 00:16:14