Identify representative points from a distance object
1 2 | MPgetRepresentatives(d, subsets = NULL, method = c("complete",
"single", "average", "pam", "extreme"), k = 0.05)
|
d |
dist object or dist-like matrix |
subsets |
if NULL, function considers all rows if vector of characters, interpreted as regex for subsetting rows |
method |
character, determines what clustering approach is used to determine representative items within a clustering |
k |
numeric or integer. If more than 1, number of points to select If less than 1, proportion of points to select |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.