https://yjzhou16.r-universe.devRecent package updates in yjzhou16R-universehttps://github.com/yjzhou16.pnghttps://yjzhou16.r-universe.devMon, 14 Jul 2025 16:50:02 GMTyijin_zhou1116@163.com (Yijin Zhou)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.https://github.com/r-universe/yjzhou16/actions/runs/26019901490Mon, 14 Jul 2025 16:50:02 GMTclusterWebApp0.1.3successhttps://yjzhou16.r-universe.devhttps://github.com/cran/clusterWebApp