Evaluating Clusters
Understand how to assess clustering algorithm effectiveness using evaluation metrics like adjusted Rand index and adjusted mutual information. Learn when and how to apply these metrics within scikit-learn for meaningful cluster validation, especially with true cluster labels.
We'll cover the following...
We'll cover the following...
Chapter Goals:
- Learn how to evaluate clustering algorithms
A. Evaluation metrics
When we don't have access to any true cluster assignments (labels), the best we can do to evaluate clusters is to just take a look at them and see if they make sense with respect to the dataset and domain. However, if we ...