MS-Clustering is a new program aimed at improving the analysis large MS/MS datasets by removing many of their redundant or low quality spectra. MS-Clustering is capable of reducing the number of spectra submitted for analysis from a large 10+ million dataset by 90% while increasing the number peptide/protein identifications by up to 10%.