run_app

<p>This function launches the Shiny web application located in the <code>inst/app</code> directory
of the installed package. The application provides an interactive interface for clustering analysis.</p>

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.

run_app: Launch the Shiny Clustering Web App

Description

Usage

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Examples