fcd.trans: The graph based penalty transformation matrix
In fcd: Fused Community Detection
Description
Usage
Arguments
Value
Author(s)
References
Description
Get the graph based penalty transformation matrix.
Usage
1
fcd.trans(A)
Arguments
A
input matrix – adjacency matrix of an observed graph based on the non-isolated nodes, of dimension n.noniso x n.noniso, where n.noniso is the number of the non-isolated nodes.
Value
the graph based penalty transformation matrix, of dimension |E| \times n, where |E| is the number of edges in the graph and n is the number of nodes.
Author(s)
Yang Feng, Richard J. Samworth and Yi Yu
References
Yang Feng, Richard J. Samworth and Yi Yu, Fused Community Detection, manuscript.
fcd documentation built on May 2, 2019, 3:28 p.m.
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Description Usage Arguments Value Author(s) References
Description
Get the graph based penalty transformation matrix.
Usage
1 | fcd.trans(A)
|
Arguments
A |
input matrix – adjacency matrix of an observed graph based on the non-isolated nodes, of dimension |
Value
the graph based penalty transformation matrix, of dimension |E| \times n, where |E| is the number of edges in the graph and n is the number of nodes.
Author(s)
Yang Feng, Richard J. Samworth and Yi Yu
References
Yang Feng, Richard J. Samworth and Yi Yu, Fused Community Detection, manuscript.
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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