hCluster-methods: Hierarchical Cluster Analysis
In ShengLi/Rutilities: R utilities
Description
Usage
Arguments
Value
Description
Hierarchical Cluster Analysis
Usage
1
2
Arguments
x
a matrix object, each column is a sample,
each row is a feature
dist.method
the distance measure to be used. This
must be one of "correlation", "euclidean",
"maximum", "manhattan", "canberra",
"binary" or "minkowski". Any unambiguous
substring can be given. (default:"correlation")
hclust.method
the agglomeration method to be used.
This should be (an unambiguous abbreviation of) one of
"ward", "single", "complete",
"average", "mcquitty", "median" or
"centroid". (default:"ward")
plot
a logical value indicating whether to plot
hierarchical clustering. (default:TRUE)
Value
a tree object of a hierarchical cluster analysis
using a set of dissimilarities for the n objects being
clustered.
ShengLi/Rutilities documentation built on May 10, 2017, 1:35 p.m.
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Description Usage Arguments Value
Description
Hierarchical Cluster Analysis
Usage
1 2 |
Arguments
x |
a |
dist.method |
the distance measure to be used. This
must be one of " |
hclust.method |
the agglomeration method to be used.
This should be (an unambiguous abbreviation of) one of
" |
plot |
a logical value indicating whether to plot hierarchical clustering. (default:TRUE) |
Value
a tree object of a hierarchical cluster analysis
using a set of dissimilarities for the n objects being
clustered.
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.
As an Amazon Associate I earn from qualifying purchases.
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