clusterWebApp: Universal Clustering Analysis Platform

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.

Version:	0.1.3
Imports:	shiny, shinythemes, shinycssloaders, cluster, factoextra, datasets, ggplot2, dbscan, mclust, kernlab, Rtsne, DT, dplyr, tidyr, mlbench, magrittr
Published:	2025-07-14
DOI:	10.32614/CRAN.package.clusterWebApp
Author:	Yijin Zhou [aut, cre]
Maintainer:	Yijin Zhou <yijin_zhou1116 at 163.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	clusterWebApp results

Documentation:

Reference manual:

clusterWebApp.pdf

Downloads:

Package source:	clusterWebApp_0.1.3.tar.gz
Windows binaries:	r-devel: clusterWebApp_0.1.3.zip, r-release: clusterWebApp_0.1.3.zip, r-oldrel: clusterWebApp_0.1.3.zip
macOS binaries:	r-release (arm64): clusterWebApp_0.1.3.tgz, r-oldrel (arm64): clusterWebApp_0.1.3.tgz, r-release (x86_64): clusterWebApp_0.1.3.tgz, r-oldrel (x86_64): clusterWebApp_0.1.3.tgz

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