Computes non-linear dimension reduction with uwot and default parameters.
Arguments
- dist
a distance matrix
- ...
other parameters expected to be passed to dimReduction
Value
list containing a 2 x n matrix of reduced dimension data
Examples
head(umap(getDists(Bikes$space1,"euclidean"))$Y)
#> [,1] [,2]
#> [1,] 3.858979 -9.411477
#> [2,] 4.112678 -8.836378
#> [3,] 7.012512 9.710054
#> [4,] 7.200870 9.155975
#> [5,] 7.250535 9.099178
#> [6,] 7.347830 8.878831