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

	${\mathcal{D}}_{\alpha }$	${\mathcal{A}}_{\alpha }$	${\mathcal{O}}_{\alpha }$	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

${\mathcal{D}}_{\alpha }$ is the correlation to an idealized cluster, ${\mathcal{A}}_{\alpha }$ the silhouette cluster accuracy, and ${\mathcal{O}}_{\alpha }$ the relative overlap. Higher is better