What is the fine-grained topic of the following text: Most existing spectral clustering methods typically adopt Gaussian kernel as the similarity measure, and employ all available features to construct affinity matrices with the Euclidean distance, which is often not an accurate representation of the underlying data structures, especially when the number of features is large. Only return the topic.
Spectral clustering methods and their limitations