plot_radar

Displays the medoids of each PAM cluster using a polar radar chart.

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.

Yijin Zhou

clusterWebApp

Universal Clustering Analysis Platform

plot_radar function

<dl><dt>data</dt>
<dd>A numeric matrix or data frame for clustering.</dd>
<dt>clusters</dt>
<dd>An integer indicating the number of clusters.</dd></dl>

Arguments

Plot Radar Chart for PAM Cluster Centers — plot_radar

<dl>

<dt>data</dt>
<dd>A numeric matrix or data frame for clustering.</dd>


<dt>clusters</dt>
<dd>An integer indicating the number of clusters.</dd>

</dl>

plot_radar: Plot Radar Chart for PAM Cluster Centers

Description

Usage

Value

Arguments

Examples