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Rotates a dendrogram so it confirms to an order of a provided distance object. The seriation algorithm is based on seriate, which tries to find a linear order for objects using data in form of a dissimilarity matrix (one mode data).
This is useful for heatmap visualization.
seriate_dendrogram(dend, x, method = c("OLO", "GW"), ...)
An object of class dendrogram or hclust
a dist object.
a character vector of either "OLO" or "GW": "OLO" - Optimal leaf ordering, optimzes the Hamiltonian path length that is restricted by the dendrogram structure - works in O(n^4) "GW" - Gruvaeus and Wainer heuristic to optimze the Hamiltonian path length that is restricted by the dendrogram structure
parameters passed to seriate
A dendrogram that is rotated based on the optimal ordering of the distance matrix
# NOT RUN {
# library(dendextend)
d <- dist(USArrests)
hc <- hclust(d, "ave")
dend <- as.dendrogram(hc)
heatmap(as.matrix(USArrests))
dend2 <- seriate_dendrogram(dend, d)
heatmap(as.matrix(USArrests), Rowv = dend)
# }
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