given a matrix (maybe a distance matrix), cluster and then re-order using dendsort.
Usage
similarity_reorder(
similarity_matrix,
matrix_indices = NULL,
transform = "none",
hclust_method = "complete",
dendsort_type = "min"
)Arguments
- similarity_matrix
matrix of similarities
- matrix_indices
indices to reorder
- transform
should a transformation be applied to the data first
- hclust_method
which method for clustering should be used?
- dendsort_type
how should the reordering be done? (default is "min")
Value
a dendrogram object. To get the order use order.dendogram.