README.md
In CBIIT-CGBB/GCluster: Graph Based Cluster
GCluster: graph-based clustering
library(devtools)
install_github("CBIIT-CGBB/GCluster")
Examples:
GCluster(dat=dat, wt=wt) and plot a graph removed edges by weights
Clustering with weight and Clustering with k number
Clustering with k means or with minimum spanning tree plot
Cluster labeling
Cluster with several algorithms and cluster cartoon plot
Cluster contours
Cluster probabilities by simulation
Cluster visualization
Cluster trajectory analysis
Cluster tree analysis (dynamic cluster analysis)
R codes for generating clusters from k=2 to k=30
Options: i2d function of the package (i2d package)
Convert image to digital (generate complex data sets for cluster algorithm evaluation)
Convert the image (top) to digital (bottom plot)
CBIIT-CGBB/GCluster documentation built on Oct. 26, 2023, 4:27 a.m.
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.
GCluster: graph-based clustering
library(devtools)
install_github("CBIIT-CGBB/GCluster")
Examples:
GCluster(dat=dat, wt=wt) and plot a graph removed edges by weights
Clustering with weight and Clustering with k number
Clustering with k means or with minimum spanning tree plot
Cluster labeling
Cluster with several algorithms and cluster cartoon plot
Cluster contours
Cluster probabilities by simulation
Cluster visualization
Cluster trajectory analysis
Cluster tree analysis (dynamic cluster analysis)
R codes for generating clusters from k=2 to k=30
Options: i2d function of the package (i2d package)
Convert image to digital (generate complex data sets for cluster algorithm evaluation)
Convert the image (top) to digital (bottom plot)
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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