6.2 Recommendations Worth a Million: An Introduction to Clustering | 6.2 Recommendations Worth a Million: An Introduction to Clustering | 6 Clustering | The Analytics Edge | Sloan School of Management

<Video 3: Movie Data and Clustering
6.2.1Video 1: Introduction to Netflix
6.2.2Quick Question
6.2.3Video 2: Recommendation Systems
6.2.4Quick Question
6.2.5Video 3: Movie Data and Clustering
6.2.6Quick Question
6.2.7Video 4: Computing Distances
6.2.8Quick Question
6.2.9Video 5: Hierarchical Clustering
6.2.10Quick Question
6.2.11Video 6: Getting the Data
6.2.12Quick Question
6.2.13Video 7: Hierarchical Clustering in R
6.2.14Quick Question
6.2.15Video 8: The Analytics Edge of Recommendation Systems
>Video 4: Computing Distances

Quick Question

In the previous video, we discussed how clustering is used to split the data into similar groups. Which of the following tasks do you think are appropriate for clustering? Select all that apply.

Dividing search results on Google into categories based on the topic

Grouping players into different "types" of basketball players that make it to the NBA

Predicting the winner of the Major League Baseball World Series

Explanation

The first two options are appropriate tasks for clustering. Clustering probably wouldn't help us predict the winner of the World Series.