| add_subtree | Add Nodes To a Plot of a Hierarchical Clustering Model |
| breastcancer | Discrimination of Cancerous and Non-Cancerous Breast Masses |
| cluster_performance | External Cluster Validity Metrics |
| dermatology | Eryhemato-Squamous Disease Identification |
| df_mc | Gradient of the Variance Ratio Clusterability Across a... |
| df_md | Gradient of the Integrated Density on a Hyperplane |
| df_md_cpp | C++ function for gradient in MDH |
| df_ncut | Gradient of the Normalised Cut Across a Hyperplane |
| dkde | Gradient of the Penalised Density at a Point |
| dncut_x | C++ function for gradient in NCUTH |
| f_mc | Variance Ratio Clusterability Across a Hyperplane |
| f_md | Integrated Density on a Hyperplane |
| f_md_cpp | C++ function for MDH |
| f_ncut | Normalised Cut Across a Hyperplane |
| hp_plot | Visualise a Hyperplane Separator for Clustering |
| ismin_cpp | C++ function for min check in MDH |
| is_minim | Check if the Current Solution is a Valid Minimum Density... |
| mc_b | Location of Optimal Variance Ratio Hyperplane |
| mcdc | Divisive Clustering Using Maximum Clusterability |
| mcdr | Maximum Clusterability Dimension Reduction |
| mch | Maximum Clusteriability Hyperplane |
| mcpp | Maximum Clusterability Projection Pursuit |
| md_b | Location of Minimum Density Hyperplane |
| md_b_cpp | C++ function for split point in MDH |
| mddc | Divisive Clustering Using Minimum Density Hyperplanes |
| mddr | Minimum Density Dimension Reduction |
| mdh | Minimum Density Hyperplane |
| mdpp | Minimum Density Projection Pursuit |
| md_reldepth | Relative Depth of a Hyperplane |
| ncut_b | Location of Minimum Normalised Cut Hyperplane |
| ncutdc | Divisive Clustering Using Minimum Normalised Cut Hyperplanes |
| ncutdr | Minimum Normalised Cut Dimension Reduction |
| ncuth | Minimum Normalised Cut Hyperplane |
| ncutpp | Minimum Normalised Cut Projection Pursuit |
| ncut_x | C++ function for NCUTH |
| node_plot | Visualise a Node in a Hierarchical Clustering Model |
| norm_vec | Euclidean Norm of a Vector |
| optidigits | Optical Recognition of Handwritten Digits |
| optidigits_mean_images | Visualise Cluster Means from optidigits data set |
| pendigits | Pen-based Recognition of Handwritten Digits |
| phoneme | Speech Recognition through Phoneme Identification |
| plot.ppci_cluster_solution | Visualise a Hierarchical Clustering Model, or a Node Within a... |
| plot.ppci_hyperplane_solution | Visualise a Hyperplane Separator for Clustering |
| plot.ppci_projection_solution | Visualise a Data Set Projected from Projection Pursuit |
| PPCI-package | Projection Pursuit for Cluster Identification |
| ppclust.optim | Optimisation Call for Projection Pursuit Algorithms |
| subtree_width | Determine the Largest Number of Nodes at Any Depth in a... |
| success_ratio | Evaluate External Valifity os a Binary Partition |
| tree_plot | Visualise a Hierarchical Clustering Model |
| tree_prune | Prune a Hierarchical Clustering Model |
| tree_split | Split a Leaf in a Hierarchical Clustering Model |
| yale | Face Recognition |
