random_jump | R Documentation |
Simulation data from a random jump process, from "How to Use t-SNE Effectively".
random_jump(n, dim)
n |
Number of points to sample. |
dim |
Number of dimensions of the dataset. |
Creates a dataset similar to random_walk
but with
additional gaussian noise added at each step. Points are linearly mapped from
their position in the walk to a rainbow color scheme.
Data frame with coordinates in the X1
, X2
...
Xn
columns, and color in the color
column.
http://distill.pub/2016/misread-tsne/
Other distill functions:
circle_data()
,
cube_data()
,
gaussian_data()
,
grid_data()
,
link_data()
,
long_cluster_data()
,
long_gaussian_data()
,
ortho_curve()
,
random_circle_cluster_data()
,
random_circle_data()
,
random_walk()
,
simplex_data()
,
subset_clusters_data()
,
three_clusters_data()
,
trefoil_data()
,
two_clusters_data()
,
two_different_clusters_data()
,
unlink_data()
df <- random_jump(n = 100, dim = 100)
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