R: Projection Based Clustering

# Projection Based Clustering

## Documentation for package ‘ProjectionBasedClustering’ version 1.2.2

- DESCRIPTION file
- Package README

## Help Pages

ProjectionBasedClustering-package | Projection Based Clustering
CCA | Curvilinear Component Analysis (CCA)
ContTrustMeasure | continuity and trustworthiness
DefaultColorSequence | Default color sequence for plots
Delaunay4Points | Adjacency matrix of the delaunay graph for BestMatches of Points
DijkstraSSSP | Dijkstra SSSP
Hepta | Hepta is part of the Fundamental Clustering Problem Suit (FCPS) [Thrun/Ultsch, 2020].
ICA | Independent Component Analysis (ICA)
interactiveClustering | GUI for interactive cluster analysis
interactiveGeneralizedUmatrixIsland | GUI for cutting out an Island.
interactiveProjectionBasedClustering | Interactive Projection-Based Clustering (IPBC)
IPBC | Interactive Projection-Based Clustering (IPBC)
Isomap | Isomap
KLMeasure | Smoothed Precision and Recall
KruskalStress | Kruskal stress calculation
MDS | Multidimensional Scaling (MDS)
NeRV | Neighbor Retrieval Visualizer (NeRV)
PCA | Principal Component Analysis (PCA)
PlotProjectedPoints | Plot Projected Points
PolarSwarm | Polar Swarm (Pswarm)
Projection2Bestmatches | Projection to Bestmatches
ProjectionBasedClustering | Automatic Projection-based Clustering (PBC) [Thrun/Ultsch, 2020]
ProjectionPursuit | Projection Pursuit
SammonsMapping | Sammons Mapping
ShortestGraphPathsC | Shortest GraphPaths = geodesic distances
tSNE | T-distributed Stochastic Neighbor Embedding (t-SNE)
UniformManifoldApproximationProjection | Uniform Manifold Approximation and Projection