Clustering, Spectral Clustering, Machine Learning, Data Science, Python.
and variations of spectral clustering that address specific challenges and enhance its performance in various scenarios. 1. Kernel-based Spectral Clustering: Handling Nonlinear Data One limitation of traditional spectral clustering is its inability to effectively handle nonlinearly separable data.