Clustering - Group similar items into clusters(based on features)
Train a clustering model - Dataset that includes multiple observations(numeric features that can be used to determine similarities)

Evaluate a clustering model

• No previously known true values for cluster assignments
• Successful clustering model is good level of separation between items in each cluster(need metrics to help measure separation)

Deploy a predictive service