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,] 6.178729 12.048674
#> [2,] 7.773660 8.938407
#> [3,] 8.458022 -16.521862
#> [4,] 9.619268 -15.078421
#> [5,] 10.104621 -16.276274
#> [6,] 10.529553 -14.810654