lol.embed: Embedding
In lolR: Linear Optimal Low-Rank Projection
Description
Usage
Arguments
Value
Author(s)
Examples
Description
A function that embeds points in high dimensions to a lower dimensionality.
Usage
1
Arguments
X
[n, d] the data with n samples in d dimensions.
A
[d, r] the embedding matrix from d to r dimensions.
...
optional args.
Value
an array [n, r] the original n points embedded into r dimensions.
Author(s)
Eric Bridgeford
Examples
1
2
3
4
5
library(lolR)
data <- lol.sims.rtrunk(n=200, d=30) # 200 examples of 30 dimensions
X <- data$X; Y <- data$Y
model <- lol.project.lol(X=X, Y=Y, r=5) # use lol to project into 5 dimensions
Xr <- lol.embed(X, model$A)
lolR documentation built on July 8, 2020, 7:35 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
A function that embeds points in high dimensions to a lower dimensionality.
Usage
1 |
Arguments
X |
|
A |
|
... |
optional args. |
Value
an array [n, r] the original n points embedded into r dimensions.
Author(s)
Eric Bridgeford
Examples
1 2 3 4 5 | library(lolR)
data <- lol.sims.rtrunk(n=200, d=30) # 200 examples of 30 dimensions
X <- data$X; Y <- data$Y
model <- lol.project.lol(X=X, Y=Y, r=5) # use lol to project into 5 dimensions
Xr <- lol.embed(X, model$A)
|
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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