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| 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 |
| plot3dInterval | 3D plot for symbolic interval-valued data |
| 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 |