farthest_point_sampling {rdist} | R Documentation |
Farthest point sampling
Description
Farthest point sampling returns a reordering of the metric space P = p_1, ..., p_k, such that each p_i is the farthest point from the first i-1 points.
Usage
farthest_point_sampling(
mat,
metric = "precomputed",
k = nrow(mat),
initial_point_index = 1L,
return_clusters = FALSE
)
Arguments
mat |
Original distance matrix |
metric |
Distance metric to use (either "precomputed" or a metric from |
k |
Number of points to sample |
initial_point_index |
Index of p_1 |
return_clusters |
Should the indices of the closest farthest points be returned? |
Examples
# generate data
df <- matrix(runif(200), ncol = 2)
dist_mat <- pdist(df)
# farthest point sampling
fps <- farthest_point_sampling(dist_mat)
fps2 <- farthest_point_sampling(df, metric = "euclidean")
all.equal(fps, fps2)
# have a look at the fps distance matrix
rdist(df[fps[1:5], ])
dist_mat[fps, fps][1:5, 1:5]
[Package rdist version 0.0.5 Index]