Given a clustering of some data, and some ideal order we'd like to use to visualize it, reorder (but do not modify) the clustering to be as consistent as possible with this ideal order.

Given a clustering of some data, and some ideal order we'd like to use to visualize it, reorder (but do not modify) the clustering to be as consistent as possible with this ideal order.

reorder_hclust(clusters, order)

Arguments

clusters	The existing clustering of the data.
order	The ideal order we'd like to see the data in.

Value

A reordered clustering which is consistent, wherever possible, the ideal order.

Examples

clusters <- hclust(dist(mtcars))
clusters$order
#>  [1] 31 17 15 16 29  7 24  5 25  4  6 14 12 13 22 23 19 20 18 26 30 28  9 32  3
#> [26] 21 27  8  1  2 10 11
clusters <- slanter::reorder_hclust(clusters, 1:length(clusters$order))
clusters$order
#>  [1]  4  6 12 13 14 22 23  1  2 10 11  8  9  3 21 27 32 28 30 19 20 18 26 15 16
#> [26] 17  5 25  7 24 29 31