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  "Description": "An interactive platform for clustering analysis and\nteaching based on the 'shiny' web application framework.\nSupports multiple popular clustering algorithms including\nk-means, hierarchical clustering, DBSCAN (Density-Based Spatial\nClustering of Applications with Noise), PAM (Partitioning\nAround Medoids), GMM (Gaussian Mixture Model), and spectral\nclustering. Users can upload datasets or use built-in ones,\nvisualize clustering results using dimensionality reduction\nmethods such as Principal Component Analysis (PCA) and\nt-distributed Stochastic Neighbor Embedding (t-SNE), evaluate\nclustering quality via silhouette plots, and explore\nmethod-specific visualizations and guides. For details on\nimplemented methods, see: Reynolds (2009, ISBN:9781598296975)\nfor GMM; Luxburg (2007) <doi:10.1007/s11222-007-9033-z> for\nspectral clustering.",
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