Introduction | Available Functions | Use Cases | 1. Simplified Silhouette Calculation | a. When the Proximity Matrix is Unknown but Centers of Clusters Are Known | b. When the Proximity Matrix Is Known | c. Calculation of Fuzzy Silhouette Index for Soft Clustering Algorithms | 2. Comparing Two Soft Clustering Algorithms Using the Soft Silhouette Function | 3. Scree Plot for Optimal Number of Clusters | 4. Visualizing Silhouette Analysis Results with plotSilhouette() | 5. Creating and Validating User-Defined Silhouette Objects | 6. Comprehensive Comparison of All Silhouette Methods with calSilhouette() | a. Comprehensive Method Comparison Using Clustering Function | b. Method Comparison Using Output Proximity Matrices | c. Comparing Clustering Algorithms Using calSilhouette() | d. Visualizing Method Comparisons | e. Selecting Optimal Number of Clusters Using calSilhouette() | f. Method-Specific Analysis | g. Comparing Only Proximity-Based Methods | h. Heatmap Visualization of Method Comparisons | 7. Extended Silhouette Analysis for Multi-Way Clustering | References