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Spectral clustering algorithm has proved be more effective than most traditional algorithms in finding clusters. However, its high computational complexity limits its effect in actual application. This paper combines the spectral clustering with MapReduce, through evaluation of sparse matrix eigenvalue and computation of distributed cluster, puts forward the improvement ideas and concrete realization, and thus improves the clustering speed of the distinctive clustering algorithm. According todoi:10.1186/2192-113x-2-18 fatcat:q7gbchi7nrg5rfibzihtzeyhnq