Computes non-linear dimension reduction with Rtsne and default parameters.
Arguments
- dist
a distance matrix
- ...
other parameters expected to be passed to dimReduction
Value
list containing a n x 2 matrix of reduced dimension data in Y
Examples
head(tSNE(getDists(Bikes$space1,"euclidean"))$Y)
#> [,1] [,2]
#> [1,] -5.923845 8.903472
#> [2,] -2.816945 10.261091
#> [3,] 19.149796 4.951020
#> [4,] 17.792176 6.221425
#> [5,] 18.909975 6.630759
#> [6,] 17.574394 7.032094