R: Projection Pursuit for Cluster Identification

# Projection Pursuit for Cluster Identification

## Documentation for package ‘PPCI’ version 0.1.5

- DESCRIPTION file

## Help Pages

PPCI-package | Projection Pursuit for Cluster Identification
breastcancer | Discrimination of Cancerous and Non-Cancerous Breast Masses
cluster_performance | External Cluster Validity Metrics
dermatology | Eryhemato-Squamous Disease Identification
mcdc | Divisive Clustering Using Maximum Clusterability
mcdr | Maximum Clusterability Dimension Reduction
mch | Maximum Clusteriability Hyperplane
mddc | Divisive Clustering Using Minimum Density Hyperplanes
mddr | Minimum Density Dimension Reduction
mdh | Minimum Density Hyperplane
ncutdc | Divisive Clustering Using Minimum Normalised Cut Hyperplanes
ncutdr | Minimum Normalised Cut Dimension Reduction
ncuth | Minimum Normalised Cut Hyperplane
optidigits | Optical Recognition of Handwritten Digits
optidigits_mean_images | Visualise Cluster Means from optidigits data set
pendigits | Pen-based Recognition of Handwritten Digits
PPCI | Projection Pursuit for Cluster Identification
success_ratio | Evaluate External Valifity os a Binary Partition
tree_prune | Prune a Hierarchical Clustering Model
tree_split | Split a Leaf in a Hierarchical Clustering Model
yale | Face Recognition