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_ncut | Gradient of the Normalised Cut Across a Hyperplane |
dkde | Gradient of the Penalised Density at a Point |
f_mc | Variance Ratio Clusterability Across a Hyperplane |
f_md | Integrated Density on a Hyperplane |
f_ncut | Normalised Cut Across a Hyperplane |
hp_plot | Visualise a Hyperplane Separator for Clustering |
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 |
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 |
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 |
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 |
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