ti_mst: MST
In dynverse/dynmethods: A collection of trajectory inference methods
ti_mst R Documentation
MST
Description
Will generate a trajectory using MST.
This method was wrapped inside a
container.
Usage
ti_mst(dimred = "pca", ndim = 2L)
Arguments
dimred
Which dimensionality reduction method to use. Domain: pca, mds,
tsne, ica, lle, landmark_mds, mds_sammon, mds_isomds, mds_smacof, umap,
dm_diffusionMap. Default: pca. Format: character.
ndim
. Domain: U(2, 30). Default: 2. Format: integer.
Value
A TI method wrapper to be used together with
infer_trajectory
dynverse/dynmethods documentation built on Jan. 18, 2024, 4:44 a.m.
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| ti_mst | R Documentation |
MST
Description
Will generate a trajectory using MST.
This method was wrapped inside a container.
Usage
ti_mst(dimred = "pca", ndim = 2L)
Arguments
dimred |
Which dimensionality reduction method to use. Domain: pca, mds, tsne, ica, lle, landmark_mds, mds_sammon, mds_isomds, mds_smacof, umap, dm_diffusionMap. Default: pca. Format: character. |
ndim |
. Domain: U(2, 30). Default: 2. Format: integer. |
Value
A TI method wrapper to be used together with
infer_trajectory
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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