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Symbolic data analysis: what is it?
2007Classical data values are single points in p-dimensional space; symbolic data values are hypercubes (broadly defined) in p-dimensional space (and/or a cartesian product of p distributions). While some datasets, be they small or large in size, naturally consist of symbolic data, many symbolic datasets result from the aggregation of large or extremely ...
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Symbolic dynamics for medical data analysis
2002Observational data of natural systems, as measured in medical measurements are typically quite different from those obtained in laboratories. Due to the peculiarities of these data, wellknown characteristics, such as power spectra or fractal dimension, often do not provide a suitable description.
Wessel, Niels +3 more
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Symbolic Polygonal Data Analysis Symbolic Data Analysis
2018Silva, Wagner +2 more
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On the Analysis of Symbolic Data
2007Symbolic data extend the classical tabular model, where each individual, takes exactly one value for each variable by allowing multiple, possibly weighted, values for each variable. New variable types - interval-valued, categorical multi-valued and modal variables - have been introduced, which allow representing variability and/or uncertainty inherent ...
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Clustering Methods in Symbolic Data Analysis
2004We present an overview of the clustering methods developed in Symbolic Data Analysis to partition a set of conceptual data into a fixed number of classes. The proposed algorithms are based on a generalization of the classical Dynamical Clustering Algorithm (DCA) (Nuees Dynamiques methode).
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