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Table 5 The second experiment: Summary of quality measures for the performances of six distances (DSSIM, descriptor, Euclidean, Manhattan, Pearson, approximated information distance) on a dataset of 526 genomic DNA sequences sampled randomly (10 fragments per chromosome for multi-chromosome organisms, and all fragments of the genome otherwise) from the genomes of organisms from each kingdom of life

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 0.729 1.000 0.964 1.980 2nd
Descriptor 0.726 0.998 0.984 2.336 1st
Euclidean 0.438 0.608 0.861 −5.292 6th
Manhattan 0.662 1.000 0.955 1.172 3rd
Pearson 0.639 0.949 0.875 −0.954 5th
Approx. Inf. 0.637 1.000 0.946 0.759 4th
  1. \(\mathcal {D}_{\alpha }\) is the correlation to an idealized cluster, \(\mathcal {A}_{\alpha }\) the silhouette cluster accuracy, and \(\mathcal {O}_{\alpha }\) the relative overlap. Higher is better