optimal_k: Using the elbow method to find the optimal number of clusters...
In jianhaizhang/spatialHeatmap: spatialHeatmap: Visualizing Spatial Assays in Anatomical Images and Large-Scale Data Extensions
optimal_k R Documentation
Using the elbow method to find the optimal number of clusters in K-means clustering
Description
This function is designed to find the optimal number of clusters in K-means clustering using the elbow method.
Usage
optimal_k(data, max.k, title = "Elbow Method for Finding the Optimal k")
Arguments
data
A numeric data.frame scaled with scale.
max.k
The max number of clusters to consider.
title
A character string of the elbow plot title.
Value
A ggplot.
Author(s)
Jianhai Zhang jzhan067@ucr.edu
Dr. Thomas Girke thomas.girke@ucr.edu
References
H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.
Examples
data <- iris[, 1:4]
dat.scl <- scale(data)
optimal_k(dat.scl, 5)
jianhaizhang/spatialHeatmap documentation built on Nov. 28, 2024, 4:44 p.m.
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| optimal_k | R Documentation |
Using the elbow method to find the optimal number of clusters in K-means clustering
Description
This function is designed to find the optimal number of clusters in K-means clustering using the elbow method.
Usage
optimal_k(data, max.k, title = "Elbow Method for Finding the Optimal k")
Arguments
data |
A numeric |
max.k |
The max number of clusters to consider. |
title |
A character string of the elbow plot title. |
Value
A ggplot.
Author(s)
Jianhai Zhang jzhan067@ucr.edu
Dr. Thomas Girke thomas.girke@ucr.edu
References
H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.
Examples
data <- iris[, 1:4]
dat.scl <- scale(data)
optimal_k(dat.scl, 5)
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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