| bagging.SDA | Bagging algorithm for optimal split based on decision tree for symbolic objects | 
| boosting.SDA | Boosting algorithm for optimal split based decision tree for symbolic objects | 
| cars | real data set in symbolic form - selected car models described by a set of symbolic variables | 
| cluster.Description.SDA | description of clusters of symbolic objects | 
| data_symbolic | Symbolic interval data | 
| DClust | Dynamical clustering based on distance matrix | 
| decisionTree.SDA | Decison tree for symbolic data | 
| dist_SDA | distance measurement for symbolic data | 
| draw.decisionTree.SDA | Draws optimal split based decision tree for symbolic objects | 
| generate.SO | generation of artifficial symbolic data table with given cluster structure | 
| HINoV.SDA | Modification of HINoV method for symbolic data | 
| IchinoFS.SDA | Ichino's feature selection method for symbolic data | 
| index.G1d | Calinski-Harabasz pseudo F-statistic based on distance matrix | 
| interscal.SDA | Multidimensional scaling for symbolic interval data - InterScal algorithm | 
| iscal.SDA | Multidimensional scaling for symbolic interval data - IScal algorithm | 
| kernel.SDA | Kernel discriminant analysis for symbolic data | 
| kohonen.SDA | Kohonen's self-organizing maps for symbolic interval-valued data | 
| parse.SO | Reading symbolic data table from ASSO-format XML file | 
| PCA.centers.SDA | principal component analysis for symbolic objects described by symbolic interavl variables. _Centers_ algorithm | 
| PCA.mrpca.SDA | principal component analysis for symbolic objects described by symbolic interavl variables. _Midpoints and radii_ algorithm | 
| PCA.spaghetti.SDA | principal component analysis for symbolic objects described by symbolic interavl variables. _Spaghetti_ algorithm | 
| PCA.spca.SDA | principal component analysis for symbolic objects described by symbolic interavl variables. _'Symbolic' PCA_ algorithm | 
| PCA.vertices.SDA | principal component analysis for symbolic objects described by symbolic interavl variables. _Vertices_ algorithm | 
| random.forest.SDA | Random forest algorithm for optimal split based decision tree for symbolic objects | 
| replication.SDA | Modification of replication analysis for cluster validation of symbolic data | 
| RSDA2SymbolicDA | Read a Symbolic Table from | 
| save.SO | saves symbolic data table of 'symbolic' class to xml file | 
| SClust | Dynamical clustering of symbolic data | 
| simple2SO | Change of representation of symbolic data from simple form to symbolic data table | 
| SO2Simple | Change of representation of symbolic data from symbolic data table to simple form | 
| subsdt.SDA | Subset of symbolic data table | 
| symbolic.object | Symbolic data table Object | 
| symscal.SDA | Multidimensional scaling for symbolic interval data - SymScal algorithm | 
| zoomStar | zoom star chart for symbolic data |