Projection Pursuit for Cluster Identification

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Documentation for package ‘PPCI’ version 0.1.5

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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