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Table 4 MSE results of QualComp when applied to the M. musculus dataset

From: QualComp: a new lossy compressor for quality scores based on rate distortion theory

R C R’ MSE
0 1 0 143.0
0 2 0 37.58
0 3 0 27.49
0.33 1 0.3343 16.46
0.33 2 0.3420 14.39
0.33 3 0.3459 13.09
0.66 1 0.6685 12.94
0.66 2 0.6811 11.00
0.66 3 0.6825 9.82
1.00 1 1.0026 10.01
1.00 2 1.0153 8.59
1.00 3 1.0278 7.35
2.00 1 2.0051 4.58
2.00 2 2.0177 3.76
2.00 3 2.0300 3.12
  1. MSE obtained by our lossy compression algorithm for different rates (R) and number of clusters (C) on the M. musculus dataset. R’ denotes the actual rate obtained after compression. Note that the effective rate R’, while still close to R, grows with the number of clusters.