Database Reference
In-Depth Information
In this chapter, we will:
• Briefly explore a few types of clustering models
• Extract features from data specifically using the output of one model as input fea-
tures for our clustering model
• Train a clustering model and use it to make predictions
• Apply performance-evaluation and parameter-selection techniques to select the
optimal number of clusters to use
