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,] -3.665122 7.880971
#> [2,] -3.357169 7.185910
#> [3,] -4.742634 -7.705166
#> [4,] -5.412978 -7.456743
#> [5,] -5.420894 -7.477645
#> [6,] -5.629749 -7.428062