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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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Innovations in research and clinical care using patient‐generated health data
Ca-A Cancer Journal for Clinicians, 2020H S L Jim +2 more
exaly
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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A new formulation for symbolic regression to identify physico-chemical laws from experimental data
Chemical Engineering Journal, 2020Liwei Cao, Danilo Russo, Alexei A Lapkin
exaly
Ordinal and symbolic data analysis
Computational Statistics & Data Analysis, 1997openaire +1 more source