HC: HC
In UNCLES: Unification of Clustering Results from Multiple Datasets using External Specifications
Description
Perform hierarchical clustering
Usage
1
HC(X, K, distancemetric = "euclidean", method = "ward.D2")
Arguments
X
K
distancemetric
Any distance method which can be used by the function "dist"
Default: "euclidean"
method
The hierarchical clustering method / algorithm. Acceptable
values are: "ward.D", "ward.D2", "single", "complete", "average" (= UPGMA),
"mcquitty" (= WPGMA), "median" (= WPGMC) or "centroid" (= UPGMC)
Default: "ward.D2"
UNCLES documentation built on May 2, 2019, 11:11 a.m.
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Description
Perform hierarchical clustering
Usage
1 | HC(X, K, distancemetric = "euclidean", method = "ward.D2")
|
Arguments
X |
|
K |
|
distancemetric |
Any distance method which can be used by the function "dist" Default: "euclidean" |
method |
The hierarchical clustering method / algorithm. Acceptable values are: "ward.D", "ward.D2", "single", "complete", "average" (= UPGMA), "mcquitty" (= WPGMA), "median" (= WPGMC) or "centroid" (= UPGMC) Default: "ward.D2" |
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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