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 + fileLICENSE |
| NeedsCompilation: | no |
| CRAN checks: | clusterWebApp results |
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