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PPCI (version 0.1.5)

Projection Pursuit for Cluster Identification

Description

Implements recently developed projection pursuit algorithms for finding optimal linear cluster separators. The clustering algorithms use optimal hyperplane separators based on minimum density, Pavlidis et. al (2016) ; minimum normalised cut, Hofmeyr (2017) ; and maximum variance ratio clusterability, Hofmeyr and Pavlidis (2015) .

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Version

Install

install.packages('PPCI')

Monthly Downloads

220

Version

0.1.5

License

GPL-3

Maintainer

David Hofmeyr

Last Published

March 6th, 2020

Functions in PPCI (0.1.5)

Eryhemato-Squamous Disease Identification

Discrimination of Cancerous and Non-Cancerous Breast Masses

Gradient of the Penalised Density at a Point

Add Nodes To a Plot of a Hierarchical Clustering Model

Maximum Clusteriability Hyperplane

Location of Optimal Variance Ratio Hyperplane

Maximum Clusterability Dimension Reduction

Visualise a Hyperplane Separator for Clustering

cluster_performance

External Cluster Validity Metrics

Maximum Clusterability Projection Pursuit

Location of Minimum Normalised Cut Hyperplane

Integrated Density on a Hyperplane

Location of Minimum Density Hyperplane

Minimum Density Projection Pursuit

Normalised Cut Across a Hyperplane

Divisive Clustering Using Minimum Normalised Cut Hyperplanes

Minimum Normalised Cut Dimension Reduction

Divisive Clustering Using Maximum Clusterability

Pen-based Recognition of Handwritten Digits

Minimum Density Hyperplane

plot.ppci_cluster_solution

Visualise a Hierarchical Clustering Model, or a Node Within a Hierarchical Clustering Model

Face Recognition

Relative Depth of a Hyperplane

Check if the Current Solution is a Valid Minimum Density Hyperplane

Minimum Density Dimension Reduction

Optical Recognition of Handwritten Digits

optidigits_mean_images

Visualise Cluster Means from optidigits data set

Optimisation Call for Projection Pursuit Algorithms

Minimum Normalised Cut Hyperplane

Determine the Largest Number of Nodes at Any Depth in a Clustering Hierarchy

Prune a Hierarchical Clustering Model

plot.ppci_hyperplane_solution

Visualise a Hyperplane Separator for Clustering

Divisive Clustering Using Minimum Density Hyperplanes

Split a Leaf in a Hierarchical Clustering Model

Minimum Normalised Cut Projection Pursuit

Visualise a Node in a Hierarchical Clustering Model

Euclidean Norm of a Vector

Evaluate External Valifity os a Binary Partition

plot.ppci_projection_solution

Visualise a Data Set Projected from Projection Pursuit

Visualise a Hierarchical Clustering Model

Gradient of the Normalised Cut Across a Hyperplane

Variance Ratio Clusterability Across a Hyperplane

Gradient of the Integrated Density on a Hyperplane

Gradient of the Variance Ratio Clusterability Across a Hyperplane