And the introduction of the K-Harmonic Means algorithm (KHM) can overcome the initialization-dependence of original spectral clustering and thus a more robust clustering result can be obtained.

• 通过引入K-调和平均算法克服了原始谱聚类算法对初始化的敏感性，从而得到更稳定的聚类性能。