Figure 10.

Comparing Uniform sampling with faithful sampling. Directly applying classical spectral clustering is not efficient on this sample of the stem cell dataset which contains 48000 cytometry events in 3 dimensions. (a) Although only 2115 data points were selected by faithful sampling, each population has a considerable number of representatives in the selected points. (b) 3000 points were selected by uniform sampling. The low density population in the middle of the plot consists of only 55 sample points resulting in mixing this population with a high density one incorrectly (d). (c) The result of SamSPECTRAL on the original data is satisfactory because the low density red population and other high density populations are identified properly.

Zare et al. BMC Bioinformatics 2010 11:403   doi:10.1186/1471-2105-11-403
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