point_selection: Selection of points at the ends of simplex using VCA...
In ctlab/ClusDec: Clustering approach to solve complete Deconvolution problem
Description
Usage
Arguments
Value
Description
Selection of points at the ends of simplex using VCA algorithms several times
Usage
1
point_selection(reduced, dims, number_of_iterations = 100)
Arguments
reduced
matrix or data.frame object representing objects in reduced space
dims
positive number, dimensionality of reduced space
number_of_iterations
number of iterations to perform VCA
Value
data.frame contains endpoints of reduced dataset and associated cluster number
ctlab/ClusDec documentation built on May 14, 2019, 12:29 p.m.
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Description Usage Arguments Value
Description
Selection of points at the ends of simplex using VCA algorithms several times
Usage
1 | point_selection(reduced, dims, number_of_iterations = 100)
|
Arguments
reduced |
matrix or data.frame object representing objects in reduced space |
dims |
positive number, dimensionality of reduced space |
number_of_iterations |
number of iterations to perform VCA |
Value
data.frame contains endpoints of reduced dataset and associated cluster number
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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