Fundamental Clustering Problems Suite

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Documentation for package ‘FCPS’ version 1.1.0

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FCPS-package FCPC Data Sets with Common Clustering Algorithms
ADPclustering (Adaptive) Density Peak Clustering algorithm using Automatic Parameter Selection
AgglomerativeNestingClustering AGNES clustering
APclustering Affinity Propagation clustering
Atom Atom of [Ultsch, 2004].
Chainlink Chainlink of [Ultsch et al., 1994; Ultsch, 1995].
ClusterabilityMDplot Clusterability MDplot
ClusterDistances ClusterDistances
ClusteringAccuracy ClusteringAccuracy
ClusteringAlgorithms FCPC Data Sets with Common Clustering Algorithms
Clusternumbers Estimates Number of Clusters using up to 26 Indicators
DatabionicSwarmClustering Databionic Swarm (DBS) Clustering and Visualization
DBscan DBscan
DBSclusteringAndVisualization Databionic Swarm (DBS) Clustering and Visualization
DensityPeakClustering Density Peak Clustering algorithm using the Decision Graph
DivisiveAnalysisClustering Large DivisiveAnalysisClustering Clustering
EngyTime EngyTime of [Baggenstoss, 2002].
EntropyOfDataField Entropy Of a Data Field [Wang et al., 2011].
EstimateRadiusByDistance Estimate Radius By Distance
FannyClustering Fuzzy Analysis Clustering [Rousseeuw/Kaufman, 1990, p. 164-198]
GenerateFundamentalClusteringProblem Generates a Fundamental Clustering Problem based on specific artificial datasets.
GenieClustering Genie Clustering by Gini Index
GolfBall GolfBall of [Ultsch, 2005]
GraphBasedClustering MST-kNN clustering algorithm
HCLclustering On-line Update (Hard Competitive learning) method
Hepta Hepta of [Ultsch, 2003]
HierarchicalCluster Hierarchical Clusterering
HierarchicalClusterData Hierarchical Clusterering
HierarchicalClusterDists HierarchicalClusterDists(pDist) HierarchicalClusterDists(pDist,0,"ward.D",100) Cls=HierarchicalClusterDists(pDist,6,"ward.D") Zeichnet entweder ein Dendrogram oder liefert eine Klassenzuweisung
HierarchicalClustering Hierarchical Clustering
Hierarchical_DBSCAN Hierarchical DBSCAN
InterClusterDistances InterClusterDistances
kmeansClustering K-Means Clustering
LargeApplicationClustering Large Application Clustering
Leukemia Leukemia Distancematrix and classificiation used in [Thrun, 2018]
Lsun Lsun from FCPS
Lsun3D Lsun3D inspired by FCPS
MarkovClustering Markov Clustering
MinimalEnergyClustering Minimal Energy Clustering
MinimaxLinkageClustering Minimax Linkage Hierarchical Clustering
MinSpanTree Zeichnet einen 2 dimensionalen minimal spanning Tree
ModelBasedClustering Model Based Clustering
MoGclustering MoGclustering
NeuralGasClustering Neural gas algorithm for clustering
OPTICSclustering OPTICS Clustering
PAMClustering Partitioning Around Medoids (PAM)
PAMclustering Partitioning Around Medoids (PAM)
pdfClustering Probability Density Distribution Clustering
QTClustering Stochastic QT Clustering
QTclustering Stochastic QT Clustering
RobustTrimmedClustering Robust Trimmed Clustering Clustering
SharedNearestNeighborClustering SNN clustering
SOMclustering self-organizing maps based clustering implemented by [Wherens, Buydens, 2017].
SpectralClustering Spectral Clustering
Spectrum Fast Adaptive Spectral Clustering [John et al, 2020]
StatPDEdensity Pareto Density Estimation
SubspaceClustering Algorithms for Subspace clustering
Target Target of [Ultsch, 2005].
Tetra Tetra of [Ultsch, 1993]
TwoDiamonds TwoDiamonds of [Ultsch, 2003a, 2003b]
WingNut WingNut of [Ultsch, 2005]