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 |