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,] -3.371390 7.899499
#> [2,] -3.605518 7.194001
#> [3,] -6.843035 -6.904671
#> [4,] -7.101922 -6.299586
#> [5,] -7.114751 -6.268647
#> [6,] -7.148083 -6.023505