run_silhouette: Run Silhouette
In NWhitener/benchmarking: Benchmarking Tools For Single Cell RNA Sequencing Datasets
run_silhouette R Documentation
Run Silhouette
Description
This function calculates the average silhouette width of the clustering assignments made on the data sets provided.
Uses the clusterCrit package implementation.
Usage
run_silhouette(dataList, method = "kmeans", reductionType = "pca")
Arguments
dataList
a data list of the data with clustering assignments
method
The clustering method used, defaults to Kmeans
reductionType
The dimensionality reduction type of the data to find the calculated scores,
defaults to PCA
Value
A table of the Silhouette Scores, with the data set name and the score
NWhitener/benchmarking documentation built on Oct. 23, 2023, 12:20 a.m.
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| run_silhouette | R Documentation |
Run Silhouette
Description
This function calculates the average silhouette width of the clustering assignments made on the data sets provided. Uses the clusterCrit package implementation.
Usage
run_silhouette(dataList, method = "kmeans", reductionType = "pca")
Arguments
dataList |
a data list of the data with clustering assignments |
method |
The clustering method used, defaults to Kmeans |
reductionType |
The dimensionality reduction type of the data to find the calculated scores, defaults to PCA |
Value
A table of the Silhouette Scores, with the data set name and the score
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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