| 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]