Chapter 15 Lab 2

15.1 unsupervised learning: clustering & visualization

1. Visualize beta diversity using principal coordinate analysis (PCoA);based on the Bray-Curtis dissimilarities

2. Visualize beta diversity using principal coordinates analysis (PCoA); with Aitchison distance (clr transformation+ Euclidean distance)

3. Cluster the samples using Dirichlet- multinomial mixture model

4. Visualize the clusters in the PCoA plot