grpWeighting: Objective function for grpOptimize
In hosscine/SME: Self-Manifolding Embedding
Description
Usage
Arguments
Value
Description
Objective function for grpOptimize
Usage
1
grpWeighting(t, X, X.dist, som, grp)
Arguments
t
parameter.
X
target data.
X.dist
dist of target data.
som
learned som.
grp
target graph.
Value
error of distance due to the embedding with multiplying weights of the graph by t.
hosscine/SME documentation built on May 14, 2019, 12:45 p.m.
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.
Description Usage Arguments Value
Description
Objective function for grpOptimize
Usage
1 | grpWeighting(t, X, X.dist, som, grp)
|
Arguments
t |
parameter. |
X |
target data. |
X.dist |
dist of target data. |
som |
learned som. |
grp |
target graph. |
Value
error of distance due to the embedding with multiplying weights of the graph by t.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.