Projection Based Clustering


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Documentation for package ‘ProjectionBasedClustering’ version 1.2.2

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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