谱聚类

谱聚类（spectral clustering）原理总结：

Spectral clustering, a widely employed clustering technique, is known for its versatility in adapting to diverse data distributions. Compared to the conventional K-Means method, spectral clustering demonstrates a marked capability in handling complex data distributions. Its clustering performance is commendable and often outperforms other methods. Moreover, the computational complexity of spectral clustering is notably lower than that of traditional methods, making it more efficient. What's particularly noteworthy is that despite its enhanced adaptability and