Open Internet by MindsNet

Improving Clustering Method Selection and Interpretation

The user faces challenges in selecting the appropriate clustering method and interpreting the results, specifically with KMeans. They question whether KMeans is the best approach for their customer data and struggle to prioritize inertia and silhouette scores when choosing the number of clusters.

Computing & Technology, Computer Science, Machine Learning