initializeSPA: The successive projection algorithm, a useful method for...
In hNMF: Hierarchical Non-Negative Matrix Factorization
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/initializeSPA.R
Description
The successive projection algorithm, a useful method for initializing the NMF source matrix
Usage
1
initializeSPA(data, nSources)
Arguments
data
Input data matrix. The columns correspond to the data points, each row
represents one feature
nSources
Number of sources to be obtained
Value
Matrix with initialized sources as its columns
Author(s)
Nicolas Sauwen
Examples
1
2
3
4
5
# random data
X <- matrix(runif(10*20), 10,20)
# Create initial source matrix for 3 sources
W0 <- initializeSPA(X,3)
hNMF documentation built on Jan. 8, 2021, 5:42 p.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/initializeSPA.R
Description
The successive projection algorithm, a useful method for initializing the NMF source matrix
Usage
1 | initializeSPA(data, nSources)
|
Arguments
data |
Input data matrix. The columns correspond to the data points, each row represents one feature |
nSources |
Number of sources to be obtained |
Value
Matrix with initialized sources as its columns
Author(s)
Nicolas Sauwen
Examples
1 2 3 4 5 | # random data
X <- matrix(runif(10*20), 10,20)
# Create initial source matrix for 3 sources
W0 <- initializeSPA(X,3)
|
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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