In this problem, you are provided with a dataset collected f…
In this problem, you are provided with a dataset collected from a small restaurant, recording the daily order quantities of two items: Bread and Butter. Your objective is to apply unsupervised learning—specifically, K‑means clustering—to partition the data into several clusters and expect to obatin some valuable insights from the resulting groups. When a calculation yields a decimal value, please round the result of every single step—not just the final answer—to one decimal place. (10 points) What is the major limitation of K-means clustering? (15 points) Please provide the best value of k using Elbow Method. To simplify the analysis, you do not need to determine the optimal cluster assignments for k=2 and k=3 yourself. We just assume that: For k=2, the optimal clusters are {T1, T2, T3} and {T4}; for k=3, the optimal clusters are {T1, T2}, {T3}, and {T4}.