Cluster analysis. The Beta diversity matrix heatmap visualizes the Beta diversity data through graphs and clusters samples. Samples with similar beta diversity are clustered together. Darker colors indicate stronger correlation between species (A). UPGMA clustering tree (B). The shorter the branch length between samples, the more similar the two samples. The greater the distance, the greater the difference in species composition. Microflora classification analysis mainly studies the classification method of dominant microflora structure of different samples by statistical clustering methods (C, D).