Provide information about a hierarchical clustering
Agglomerative hierarchical clustering procedures typically produce
a list of the clusters merged at each stage of the clustering.
cluinf uses this list to construct arrays that explicitly show
which cluster a given data point belongs to, and which data points belong
to a given cluster.
Matrix with 2 columns. The ith row contains the labels of the clusters merged at the ith merge.
Can also be the object returned by a call to
Number of clusters.
Information about the clustering that has
It is a list with the following elements:
Vector giving the assignment of items to clusters.
Vector of length
J. R. M. Hosking email@example.com
Hosking, J. R. M., and Wallis, J. R. (1997). Regional frequency analysis: an approach based on L-moments. Cambridge University Press.
1 2 3 4 5 6 7 8 9 10 11 12 13 14
## Clustering of gaging stations in Appalachia, as in Hosking ## and Wallis (1997, sec. 9.2.3) data(Appalach) # Form attributes for clustering (Hosking and Wallis's Table 9.4) att <- cbind(a1 = log(Appalach$area), a2 = sqrt(Appalach$elev), a3 = Appalach$lat, a4 = Appalach$long) att <- apply(att, 2, function(x) x/sd(x)) att[,1] <- att[,1] * 3 # Clustering by Ward's method (cl<-cluagg(att)) # Details of the clustering with 7 clusters cluinf(cl, 7)
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.