mstGCluster: graph based cluster
In CBIIT-CGBB/GCluster: Graph Based Cluster
mstGCluster R Documentation
graph based cluster
Description
graph based cluster
Usage
mstGCluster(dat=dat, k=2, filter=TRUE, filter.n=8, filter.d=0);
Arguments
dat
data.frame or matrix
k
number of cluster. if k=0, output mst edges only
filter
if TRUE, it will remove noise.
filter.n
if filter is TRUE, it will be used as cluster size cutoff.
filter.d
if filter is TRUE, it will be used as weight/distance cutoff.
if filter.d is zero, the cutoff will be calculated by kmeans.
Author(s)
Ying Hu <yhu@mail.nih.gov>
Chunhua Yan <yanch@mail.nih.gov>
References
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Examples
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CBIIT-CGBB/GCluster documentation built on Oct. 26, 2023, 4:27 a.m.
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| mstGCluster | R Documentation |
graph based cluster
Description
graph based cluster
Usage
mstGCluster(dat=dat, k=2, filter=TRUE, filter.n=8, filter.d=0);
Arguments
dat |
data.frame or matrix |
k |
number of cluster. if k=0, output mst edges only |
filter |
if TRUE, it will remove noise. |
filter.n |
if filter is TRUE, it will be used as cluster size cutoff. |
filter.d |
if filter is TRUE, it will be used as weight/distance cutoff. if filter.d is zero, the cutoff will be calculated by kmeans. |
Author(s)
Ying Hu <yhu@mail.nih.gov> Chunhua Yan <yanch@mail.nih.gov>
References
##
Examples
##
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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