clusterCosine: Cosine simillarity clustering
In ctlab/ClusDec: Clustering approach to solve complete Deconvolution problem
Description
Usage
Arguments
Value
Description
Clusters given dataset using cosine simillarity as distance
Uses Kmeans from amap
Usage
1
clusterCosine(ge, k)
Arguments
ge
matrix, given gene expression dataset
k
numeric, number of clusters
Value
matrix, clustered dataset
ctlab/ClusDec documentation built on May 14, 2019, 12:29 p.m.
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Description Usage Arguments Value
Description
Clusters given dataset using cosine simillarity as distance Uses Kmeans from amap
Usage
1 | clusterCosine(ge, k)
|
Arguments
ge |
matrix, given gene expression dataset |
k |
numeric, number of clusters |
Value
matrix, clustered dataset
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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