The speaker considers feature-based clustering much better for understanding data than embedding-based clustering.

“and this is a good approximation to the way that this data point will push the model or we can also cluster based on based on features um and this is like much this is much better as a way of understanding you don't necessarily want to cluster based on embeddings um”