Performance determinants of unsupervised clustering methods for microbiome data

Microbiome

Table 1 Summary of the example datasets

Dataset	Number of OTUs	Cluster	Number of samples	Average sequencing depth	Shannon Diversity of the dataset	Abundance sum of OTUs with average abundance >0.001
De Filippo	2 803		29 (total)	14,015	152.95	0.382
		Italy	15	14,378
		Africa	14	13,626
Martinez	10 223		62 (total)	16,035	336.14	0.484
		Papua	40	16,504
		US	22	15,182
Schnorr	4 707		43 (total)	6011	238.74	0.058
		Hadza	27	4521
		Italy	16	8526
Smits	12 002		259 (total)	21,441	1233.86	0.621
		Late Dry	197	19,587
		Early Wet	62	27,335

ISSN: 2049-2618