select_landmarks {lmds} | R Documentation |
Select landmarks from dataset
Description
In addition, the distances between the landmarks and all samples are calculated.
Usage
select_landmarks(x, distance_method = c("euclidean", "pearson",
"spearman", "cosine", "manhattan"), landmark_method = c("sample"),
num_landmarks = 500)
Arguments
x |
A matrix, optionally sparse. |
distance_method |
The distance metric to use. Options are "euclidean" (default), "pearson", "spearman", "cosine", "manhattan". |
landmark_method |
The landmark selection method to use. Options are "sample" (default). |
num_landmarks |
The number of landmarks to use, |
Value
The distance matrix between the landmarks and all samples. In addition, an attribute "landmark_ix"
denotes the indices of landmarks that were sampled.
Examples
library(Matrix)
x <- Matrix::rsparsematrix(1000, 1000, .01)
select_landmarks(x)
[Package lmds version 0.1.0 Index]