Spectral Clustering Explained: How Eigenvectors Reveal Complex Cluster Structures

Summary

The article explores how spectral clustering surpasses K-means by utilizing eigenvectors to uncover intricate cluster structures. It highlights the advantages of this method in data science, offering insights into its effectiveness for complex datasets.