GLI: A MVDA Function
In angy89/MVDA_package: Multi-View Biological Data Analysis
Description
Usage
Arguments
Value
Description
Function that perform che multiple view late integration clustering
Usage
1
GLI(A, k, alfa, eps)
Arguments
A
is a matrix in R^n*r (where n is the number of elements and r is the number of clusters) of m membership matrix stacked orizontally
k
the desidered number of cluster
alfa
that is a positive constant
eps
is the constant parameter for convergence
Value
a list containing two matrix: - A clustering pattern matrix B (in R^ n*k) - A matrix P (in R^ k*r) of m mapping matrices stacked orizontally
angy89/MVDA_package documentation built on May 7, 2019, 8:58 p.m.
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Description Usage Arguments Value
Description
Function that perform che multiple view late integration clustering
Usage
1 | GLI(A, k, alfa, eps)
|
Arguments
A |
is a matrix in R^n*r (where n is the number of elements and r is the number of clusters) of m membership matrix stacked orizontally |
k |
the desidered number of cluster |
alfa |
that is a positive constant |
eps |
is the constant parameter for convergence |
Value
a list containing two matrix: - A clustering pattern matrix B (in R^ n*k) - A matrix P (in R^ k*r) of m mapping matrices stacked orizontally
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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