Skip to main content
Figure 7 | BMC Bioinformatics

Figure 7

From: Data reduction for spectral clustering to analyze high throughput flow cytometry data

Figure 7

Comparative identification of a low density population surrounded by much denser populations in the stem cell data set. (a-c) SamSPECTRAL correctly identified the blue, low density population, while (d-f) flowMerge merged it to the yellow, high density population. (g-i) FLAME merged it to the red population. (j-l) The outcome of our modified MCL was similar to that obtained by SamSPECTRAL using classic spectral clustering. This shows that SamSPECTRAL is extensible by substituting classic spectral clustering with other clustering algorithms for weighted graph.

Back to article page