cars

<p>symbolic data set: 30 observations on 12 symbolic variables - 9 interval-valued and 3 multinominal variables, third dimension represents the begining and the end of intervals for interval-valued variable's implementation or a set of categories for multinominal variable's implementation</p>

datasets

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>,
Calinski, T., Harabasz, J. (1974) <doi:10.1080/03610927408827101>,
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>,
Walesiak, M., Dudek, A. (2008) <doi:10.1007/978-3-540-78246-9_11>,
Dudek, A. (2007), <doi:10.1007/978-3-540-70981-7_4>).

Andrzej Dudek

symbolicDA

Analysis of Symbolic Data

cars function

<p>symbolic data table  (see (<code>link{symbolic.object}</code>)</p>

cars: real data set in symbolic form - selected car models described by a set of symbolic variables

Description

Arguments

Format

Examples