"# TweetKMeans" Twitter provides a service for posting short messages. In practice, many of the tweets are very similar to each other and can be clustered together. By clustering similar tweets together, we can generate a more concise and organized representation of the raw tweets, which will be very useful for many Twitter-based applications (e.g., truth discovery, trend analysis, search ranking, etc.) In this assignment, you will learn how to cluster tweets by utilizing Jaccard Distance metric and K-means clustering algorithm.