part.binary: part.binary
In cbsteen/clustermap: clustermap: a Versatile Toolbox in R for Clustering and Heatmap Visualisation
Description
Identifies number of clusters using method "part".
Usage
1
part.binary(X, linkage, B, minSize, maxLevel, K = 6)
Arguments
X
matrix
linkage
Default is "complete". Linkage for hierarchical clustering.
B
integer. Default is 100.
minSize
Integer Minimum size of cluster. Default set to 10.
maxLevel
Integer. Maximum depth/level for clustering, default set to 3.
K
Integer. Default is set to 6.
cbsteen/clustermap documentation built on May 24, 2019, 1:35 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.
Description
Identifies number of clusters using method "part".
Usage
1 | part.binary(X, linkage, B, minSize, maxLevel, K = 6)
|
Arguments
X |
matrix |
linkage |
Default is "complete". Linkage for hierarchical clustering. |
B |
integer. Default is 100. |
minSize |
Integer Minimum size of cluster. Default set to 10. |
maxLevel |
Integer. Maximum depth/level for clustering, default set to 3. |
K |
Integer. Default is set to 6. |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.