dot-bhtsne: #' DEF: Truncate eigenbasis #' #' For details see...
In dcellwanger/CellTrails: Reconstruction, visualization and analysis of branching trajectories
Description
Usage
Arguments
Value
Author(s)
Description
Barnes-Hut implementation of t-Distributed Stochastic Neighbor Embedding
Usage
1
.bhtsne(x, dims = 2, perplexity = 30, theta = 0.5, max_iter = 1000)
Arguments
x
A numerical matrix
dims
Output dimensionality
perplexity
Perplexity parameter (default: 30)
theta
Speed/accuracy trade-off (increase for less accuracy),
set to 0.0 for exact tSNE (default: .5)
max_iter
Number of iterations (default: 1000)
Value
A list with the following components:
YMatrix containing the new representations for the objects
perplexitySee above
Author(s)
Daniel C. Ellwanger
dcellwanger/CellTrails documentation built on May 12, 2020, 2:01 a.m.
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Description Usage Arguments Value Author(s)
Description
Barnes-Hut implementation of t-Distributed Stochastic Neighbor Embedding
Usage
1 | .bhtsne(x, dims = 2, perplexity = 30, theta = 0.5, max_iter = 1000)
|
Arguments
x |
A numerical matrix |
dims |
Output dimensionality |
perplexity |
Perplexity parameter (default: 30) |
theta |
Speed/accuracy trade-off (increase for less accuracy), set to 0.0 for exact tSNE (default: .5) |
max_iter |
Number of iterations (default: 1000) |
Value
A list with the following components:
YMatrix containing the new representations for the objects
perplexitySee above
Author(s)
Daniel C. Ellwanger
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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