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clust
2013 May 01
1
help understanding hierarchical clustering
...ipython/results/mdistefano/pg_site1.csv",header=T)
dd <- mat[!is.na(mat$idcode) &
!is.na(mat$temp) &
!is.na(mat$sal) &
!is.na(mat$count) &
!is.na(mat$count) &
!is.na(mat$subs),]
distmat<-vegdist(dd)
clusa<-hclust(distmat,"average")
print(clusa)
Call:
hclust(d = distmat, method = "average")
Cluster method : average
Distance : bray
Number of objects: 8036
print(dend1 <- as.dendrogram(clusa))
'dendrogram' with 2 branches and 8036 members total, at...