mis.cluster: Mis-clustered nodes for balanced designed network.
In fcd: Fused Community Detection
Description
Usage
Arguments
Value
Author(s)
References
Description
Get the mis-clustered nodes number.
Usage
1
mis.cluster(x, K, n)
Arguments
x
estimated labels.
K
community number.
n
nodes size for each community.
Value
perms
the permutation coincides with the truth.
mis.cluster
the mis-clustered nodes number.
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 mis-clustered nodes number.
Usage
1 | mis.cluster(x, K, n)
|
Arguments
x |
estimated labels. |
K |
community number. |
n |
nodes size for each community. |
Value
perms |
the permutation coincides with the truth. |
mis.cluster |
the mis-clustered nodes number. |
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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