The conversation between human and AI assistant.
What are the advantages of spectral clustering over k-means clustering?
That sounds interesting. Can you give me an example of when spectral clustering would be more appropriate than k-means clustering?
Sure. Let's say you have a dataset with two overlapping circles. K-means clustering would have a hard time separating the data into two distinct clusters, whereas spectral clustering could project the data into a higher dimensional space where the two circles are linearly separable, and then group them accordingly.