Interpretable metric learning in comparative metagenomics: The adaptive Haar-like distance | PLOS Computational Biology
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Interpretable metric learning in comparative metagenomics: The adaptive Haar-like distance

Fig 9

Comparison of the adaptive Haar-like embedding to various phylogenetic β-diversity metrics in the Animal Diet Type dataset.

A: Haar-like Distance PCoA embedding (F = 9.35). B: Unweighted UniFrac PCoA embedding (F = 8.65). C: Weighted UniFrac PCoA embedding (F = 10.64). D: Adaptive Haar-like PCoA embedding using 2 Haar-like coordinates (F = 52.53). E: Box plots of the top two Haar-like coordinates across the various diet types. F: The two most important Haar-like coordinates of the Animal Diet dataset visualized on the WoL tree.

Fig 9

doi: https://doi.org/10.1371/journal.pcbi.1011543.g009