find_k: Find a number of clusters or principal components
In ncchung/jackstraw: Statistical Inference for Unsupervised Learning
find_k R Documentation
Find a number of clusters or principal components
Description
There are a wide range of algorithms and visual techniques to identify
a number of clusters or principal components embedded in the observed data.
Usage
find_k()
Details
It is critical to explore the eigenvalues, cluster stability, and visualization.
See R packages bootcluster, EMCluster, and nFactors.
Please see the R package SC3, which provides estkTW() function to
find the number of significant eigenvalues according to the Tracy-Widom test.
ADPclust package includes adpclust() function that runs the algorithm
on a range of K values. It helps you to identify the most suitable number of clusters.
This package also provides an alternative methods in permutationPA.
Through a resampling-based Parallel Analysis, it finds a number of significant components.
ncchung/jackstraw documentation built on Dec. 22, 2024, 8:33 p.m.
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.
| find_k | R Documentation |
Find a number of clusters or principal components
Description
There are a wide range of algorithms and visual techniques to identify a number of clusters or principal components embedded in the observed data.
Usage
find_k()
Details
It is critical to explore the eigenvalues, cluster stability, and visualization.
See R packages bootcluster, EMCluster, and nFactors.
Please see the R package SC3, which provides estkTW() function to
find the number of significant eigenvalues according to the Tracy-Widom test.
ADPclust package includes adpclust() function that runs the algorithm
on a range of K values. It helps you to identify the most suitable number of clusters.
This package also provides an alternative methods in permutationPA.
Through a resampling-based Parallel Analysis, it finds a number of significant components.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.