Analysis of Symbolic Data
Bagging algorithm for optimal split based on decision tree for symboli...
Boosting algorithm for optimal split based decision tree for symbolic ...
real data set in symbolic form - selected car models described by a se...
description of clusters of symbolic objects
Symbolic interval data
Dynamical clustering based on distance matrix
Decison tree for symbolic data
distance measurement for symbolic data
Draws optimal split based decision tree for symbolic objects
generation of artifficial symbolic data table with given cluster struc...
Modification of HINoV method for symbolic data
Ichino's feature selection method for symbolic data
Calinski-Harabasz pseudo F-statistic based on distance matrix
Multidimensional scaling for symbolic interval data - InterScal algori...
Multidimensional scaling for symbolic interval data - IScal algorithm
Kernel discriminant analysis for symbolic data
Kohonen's self-organizing maps for symbolic interval-valued data
Reading symbolic data table from ASSO-format XML file
principal component analysis for symbolic objects described by symboli...
principal component analysis for symbolic objects described by symboli...
principal component analysis for symbolic objects described by symboli...
principal component analysis for symbolic objects described by symboli...
principal component analysis for symbolic objects described by symboli...
Random forest algorithm for optimal split based decision tree for symb...
Modification of replication analysis for cluster validation of symboli...
Read a Symbolic Table from
saves symbolic data table of 'symbolic' class to xml file
Dynamical clustering of symbolic data
Change of representation of symbolic data from simple form to symbolic...
Change of representation of symbolic data from symbolic data table to ...
Subset of symbolic data table
Symbolic data table Object
Multidimensional scaling for symbolic interval data - SymScal algorith...
zoom star chart for symbolic data
Symbolic data analysis methods: importing/exporting data from ASSO XML Files, distance calculation for symbolic data (Ichino-Yaguchi, de Carvalho measure), zoom star plot, 3d interval plot, multidimensional scaling for symbolic interval data, dynamic clustering based on distance matrix, HINoV method for symbolic data, Ichino's feature selection method, principal component analysis for symbolic interval data, decision trees for symbolic data based on optimal split with bagging, boosting and random forest approach (+visualization), kernel discriminant analysis for symbolic data, Kohonen's self-organizing maps for symbolic data, replication and profiling, artificial symbolic data generation. (Milligan, G.W., Cooper, M.C. (1985) <doi:10.1007/BF02294245>, Breiman, L. (1996), <doi:10.1007/BF00058655>, Hubert, L., Arabie, P. (1985), <doi:10.1007%2FBF01908075>, Ichino, M., & Yaguchi, H. (1994), <doi:10.1109/21.286391>, Rand, W.M. (1971) <doi:10.1080/01621459.1971.10482356>, Breckenridge, J.N. (2000) <doi:10.1207/S15327906MBR3502_5>, Groenen, P.J.F, Winsberg, S., Rodriguez, O., Diday, E. (2006) <doi:10.1016/j.csda.2006.04.003>, Dudek, A. (2007), <doi:10.1007/978-3-540-70981-7_4>).