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Table 6 The preview experiment: Summary of quality measures for the performances of six distances (DSSIM, descriptor, Euclidean, Manhattan, Pearson, approximated information distance) on a dataset of 450 DNA sequences, sampled from the entire genome (10 fragments per chromosome) of H. sapiens and M. musculus

From: An investigation into inter- and intragenomic variations of graphic genomic signatures

  \(\mathcal {D}_{\alpha }\) \(\mathcal {A}_{\alpha }\) \(\mathcal {O}_{\alpha }\) z-score sum Rank
DSSIM 0.422 1.000 0.618 3.014 2nd
Descriptor 0.032 0.560 0.063 −3.347 6th
Euclidean 0.079 0.658 0.318 −1.558 4th
Manhattan 0.209 0.969 0.336 0.601 3rd
Pearson 0.531 0.993 0.647 3.643 1st
Approx. Inf. 0.101 0.578 0.195 −2.353 5th
  1. \(\mathcal {D}_{\alpha }\) is the correlation to an idealized cluster, \(\mathcal {A}_{\alpha }\) is the silhouette cluster accuracy, and \(\mathcal {O}_{\alpha }\) is the relative overlap. Higher is better