ADPclustering           (Adaptive) Density Peak Clustering algorithm
                        using automatic parameter selection
APclustering            Affinity Propagation Clustering
AgglomerativeNestingClustering
                        AGNES clustering
Atom                    Atom introduced in [Ultsch, 2004].
AutomaticProjectionBasedClustering
                        Automatic Projection-Based Clustering
Chainlink               Chainlink introduced in [Ultsch et al., 1994;
                        Ultsch, 1995].
ClusterAMI              Adjusted Mutual Information [Vinh et al., 2009]
ClusterARI              Adjusted Rand index
ClusterAccuracy         ClusterAccuracy
ClusterApply            Applies a function over grouped data
ClusterChallenge        Generates a Fundamental Clustering Challenge
                        based on specific artificial datasets.
ClusterCount            ClusterCount
ClusterCreateClassification
                        Create Classification for Cluster.. functions
ClusterDaviesBouldinIndex
                        Davies Bouldin Index
ClusterDendrogram       Cluster Dendrogram
ClusterDistances        ClusterDistances
ClusterDunnIndex        Dunn Index
ClusterEqualWeighting   ClusterEqualWeighting
ClusterInterDistances   Computes Inter-Cluster Distances
ClusterMCC              Matthews Correlation Coefficient (MCC)
ClusterNMI              Normalized Mutual Information [Strehl et al.,
                        2003]
ClusterNoEstimation     Estimates Number of Clusters using up to 26
                        Indicators
ClusterNormalize        Cluster Normalize
ClusterPlotMDS          Plot Clustering using Dimensionality Reduction
                        by MDS
ClusterRedefine         Redfines Clustering
ClusterRename           Renames Clustering
ClusterRenameDescendingSize
                        Cluster Rename Descending Size
ClusterShannonInfo      Shannon Information
ClusterUpsamplingMinority
                        Cluster Up Sampling using SMOTE for minority
                        cluster
ClusterabilityMDplot    Clusterability MDplot
CrossEntropyClustering
                        Cross-Entropy Clustering
DBSCAN                  DBSCAN
DBSclusteringAndVisualization
                        Databionic Swarm (DBS) Clustering and
                        Visualization
DensityPeakClustering   Density Peak Clustering algorithm using the
                        Decision Graph
DivisiveAnalysisClustering
                        Large DivisiveAnalysisClustering Clustering
EngyTime                EngyTime introduced in [Baggenstoss, 2002].
EntropyOfDataField      Entropy Of a Data Field [Wang et al., 2011].
EstimateRadiusByDistance
                        Estimate Radius By Distance
FCPS-package            Fundamental Clustering Problems Suite
FannyClustering         Fuzzy Analysis Clustering [Rousseeuw/Kaufman,
                        1990, p. 253-279]
GapStatistic            Gap Statistic
GenieClustering         Genie Clustering by Gini Index
GolfBall                GolfBall introduced in [Ultsch, 2005]
HCLclustering           On-line Update (Hard Competitive learning)
                        method
HDDClustering           HDD clustering is a model-based clustering
                        method of [Bouveyron et al., 2007].
Hepta                   Hepta introduced in [Ultsch, 2003]
HierarchicalClusterData
                        Internal function of Hierarchical Clusterering
                        of Data
HierarchicalClusterDists
                        Internal Function of Hierarchical Clustering
                        with Distances
HierarchicalClustering
                        Hierarchical Clustering
HierarchicalDBSCAN      Hierarchical DBSCAN
LargeApplicationClustering
                        Large Application Clustering
Leukemia                Leukemia distance matrix and classificiation
                        used in [Thrun, 2018]
Lsun3D                  Lsun3D inspired by FCPS introduced in [Thrun,
                        2018]
MSTclustering           MST-kNN clustering algorithm [Inostroza-Ponta,
                        2008].
MarkovClustering        Markov Clustering
MeanShiftClustering     Mean Shift Clustering
MinimalEnergyClustering
                        Minimal Energy Clustering
MinimaxLinkageClustering
                        Minimax Linkage Hierarchical Clustering
MoGclustering           Mixture of Gaussians Clustering using EM
ModelBasedClustering    Model Based Clustering
ModelBasedVarSelClustering
                        Model Based Clustering with Variable Selection
NetworkClustering       Network Clustering
NeuralGasClustering     Neural gas algorithm for clustering
OPTICSclustering        OPTICS Clustering
PAMclustering           Partitioning Around Medoids (PAM)
PenalizedRegressionBasedClustering
                        Penalized Regression-Based Clustering of [Wu et
                        al., 2016].
ProjectionPursuitClustering
                        Cluster Identification using Projection Pursuit
                        as described in [Hofmeyr/Pavlidis, 2019].
QTclustering            Stochastic QT Clustering
RobustTrimmedClustering
                        Robust Trimmed Clustering
SOMclustering           self-organizing maps based clustering
                        implemented by [Wherens, Buydens, 2017].
SOTAclustering          SOTA Clustering
SharedNearestNeighborClustering
                        SNN clustering
SparseClustering        Sparse Clustering
SpectralClustering      Spectral Clustering
Spectrum                Fast Adaptive Spectral Clustering [John et al,
                        2020]
StatPDEdensity          Pareto Density Estimation
SubspaceClustering      Algorithms for Subspace clustering
TandemClustering        Tandem Clustering
Target                  Target introduced in [Ultsch, 2005].
Tetra                   Tetra introduced in [Ultsch, 1993]
TwoDiamonds             TwoDiamonds introduced in [Ultsch, 2003a,
                        2003b]
WingNut                 WingNut introduced in [Ultsch, 2005]
kmeansClustering        K-Means Clustering
kmeansDist              k-means Clustering using a distance matrix
pdfClustering           Probability Density Distribution Clustering
