Comparative Research on Spectral Clustering Based Web Community Discovery
Nanfeng Xiao · Journal of Chinese Computer Systems · 2011
Clustering is an important approach to discovering web community,spectral clustering based on spectral graph theory has been increasingly a major concern.On the base of introduction of principle theory in spectral clustering,procedures,advantages and disadvantages of four typical spectral clustering algorithms,i.e.SM,NJW,NystormCut and KASP,are analyzed,conclusion from experiments on synthesized data and real data can be reference for engineering practice in web community discovery.