Enhanced Distance Matrix Computation and Visualization
Visual enhancement of clustering analysis
Extract and visualize the eigenvalues/variances of dimensions
Subset and summarize the output of factor analyses
Visualize the contributions of row/column elements
Visualize the quality of representation of rows/columns
Draw confidence ellipses around the categories
Visualize Hierarchical Multiple Factor Analysis
Plot Model-Based Clustering Results using ggplot2
Dertermining and Visualizing the Optimal Number of Clusters
Visualize Silhouette Information from Clustering
Extract the results for rows/columns - CA
Extract the results for individuals and variables - FAMD
Extract the results for individuals/variables/group/partial axes - HMFA
Extract the results for individuals/variables - MCA
Extract the results for individuals/variables/group/partial axes - MFA
Extract the results for individuals/variables - PCA
Computes Hierarchical Clustering and Cut the Tree
A dataset containing clusters of multiple shapes
Print method for an object of class factoextra