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 |
| Author: |
Yijin Zhou [aut, cre] |
| Maintainer: |
Yijin Zhou <yijin_zhou1116 at 163.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| CRAN checks: |
clusterWebApp results |
Documentation:
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