CA.methods              Selected clustering algorithms
anderberg               Anderberg (AN) Measure
as.agnes                Convert Objects to Class agnes, twins
burnaby                 Burnaby (BU) Measure
data20                  Artificial nominal dataset
dend.plot               Visualization of Cluster Hierarchy using a
                        Dendrogram
eskin                   Eskin (ES) Measure
eval.plot               Visualization of Evaluation Criteria
evalclust               Cluster Quality Evaluation of Nominal Data
                        Hierarchical Clustering
gambaryan               Gambaryan (GA) Measure
goodall1                Goodall 1 (G1) Measure
goodall2                Goodall 2 (G2) Measure
goodall3                Goodall 3 (G3) Measure
goodall4                Goodall 4 (G4) Measure
iof                     Inverse Occurence Frequency (IOF) Measure
lin                     Lin (LIN) Measure
lin1                    Lin 1 (LIN1) Measure
nomclust                Hierarchical Clustering of Nominal Data
nomprox                 Hierarchical Clustering of Nominal Data Based
                        on a Proximity Matrix
of                      Occurence Frequency (OF) Measure
sm                      Simple Matching Coefficient (SM)
smirnov                 Smirnov (SV) Measure
ve                      Variable Entropy (VE) Measure
vm                      Variable Mutability (VM) measure
