part.pearson: part.pearson
In cbsteen/clustermap: clustermap: a Versatile Toolbox in R for Clustering and Heatmap Visualisation
Description
Identifies number of clusters using method "part" with pearson correlation as distance measure.
Usage
1
part.pearson(X, linkage, B, minSize, maxLevel, K = 6)
Arguments
X
matrix
linkage
Linkage for clustering.
B
integer.
minSize
Integer Minimum size of cluster.
maxLevel
Integer. Maximum depth/level for clustering.
K
integer. Default set to 6.
cbsteen/clustermap documentation built on May 24, 2019, 1:35 a.m.
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Description
Identifies number of clusters using method "part" with pearson correlation as distance measure.
Usage
1 | part.pearson(X, linkage, B, minSize, maxLevel, K = 6)
|
Arguments
X |
matrix |
linkage |
Linkage for clustering. |
B |
integer. |
minSize |
Integer Minimum size of cluster. |
maxLevel |
Integer. Maximum depth/level for clustering. |
K |
integer. Default 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.
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