# Fundamental Clustering Problems Suite

## Documentation for package ‘FCPS’ version 1.1.0

- DESCRIPTION file.

## Help Pages

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]