gsvd: Generalized Singular Value Decomposition
In chavent/divclust: Divisive hierarchical clustering
Description
Usage
Arguments
Value
Description
Performs the generalized singular value decomposition A=UDV with weights M on the columns and N on the rows.
Usage
1
gsvd(A, M, N)
Arguments
A
a n times p numerical matrix.
M
a vector of size p with diag(M) the metric on R^p.
N
a vector of size n with diag(N) the metric on R^n.
Value
a 3-tuple (U,V,d) with the left singular vectors, right singular vectors and singular values.
chavent/divclust documentation built on May 13, 2019, 3:38 p.m.
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Description Usage Arguments Value
Description
Performs the generalized singular value decomposition A=UDV with weights M on the columns and N on the rows.
Usage
1 | gsvd(A, M, N)
|
Arguments
A |
a n times p numerical matrix. |
M |
a vector of size p with diag(M) the metric on R^p. |
N |
a vector of size n with diag(N) the metric on R^n. |
Value
a 3-tuple (U,V,d) with the left singular vectors, right singular vectors and singular values.
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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