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clusterWebApp  

Universal Clustering Analysis Platform
View on CRAN: Click here


Download and install clusterWebApp package within the R console
Install from CRAN:
install.packages("clusterWebApp")

Install from Github:
library("remotes")
install_github("cran/clusterWebApp")

Install by package version:
library("remotes")
install_version("clusterWebApp", "0.1.3")



Attach the package and use:
library("clusterWebApp")
Maintained by
Yijin Zhou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-14
Latest Update: 2025-07-14
Description:
An interactive platform for clustering analysis and teaching based on the 'shiny' web application framework. Supports multiple popular clustering algorithms including k-means, hierarchical clustering, DBSCAN (Density-Based Spatial Clustering of Applications with Noise), PAM (Partitioning Around Medoids), GMM (Gaussian Mixture Model), and spectral clustering. Users can upload datasets or use built-in ones, visualize clustering results using dimensionality reduction methods such as Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE), evaluate clustering quality via silhouette plots, and explore method-specific visualizations and guides. For details on implemented methods, see: Reynolds (2009, ISBN:9781598296975) for GMM; Luxburg (2007) <doi:10.1007/s11222-007-9033-z> for spectral clustering.
How to cite:
Yijin Zhou (2025). clusterWebApp: Universal Clustering Analysis Platform. R package version 0.1.3, https://cran.r-project.org/web/packages/clusterWebApp. Accessed 27 Oct. 2026.
Previous versions and publish date:
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Functions, R codes and Examples using the clusterWebApp R package
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