By using K-Means clustering, an online retailer may identify that its client base naturally divides into three groups: budget-conscious shoppers, regular shoppers, and luxury shoppers.

For instance, data analysis problems may be compute-intensive or memory-intensive. For example, K-Means clustering algorithm in machine learning is a compute-intensive algorithm, while Word Count is ...