Self-organizing map for symbolic data
Fuzzy Sets and Systems
A resampling approach for interval-valued data regression
Statistical Analysis and Data Mining
Model-based clustering of probability density functions
Advances in Data Analysis and Classification
A hierarchical modeling approach for clustering probability density functions
Computational Statistics & Data Analysis
A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data
Expert Systems with Applications: An International Journal
Neurocomputing
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This paper introduces symbolic data analysis, explaining how it extends the classical data models to take into account more complete and complex information. Several examples motivate the approach, before the modeling of variables assuming new types of realizations are formally presented. Some methods for the (multivariate) analysis of symbolic data are presented and discussed. This is however far from being exhaustive, given the present dynamic development of this new field of research. © 2011 Wiley Periodicals, Inc. Statistical Analysis and Data Mining 4: 157–170, 2011 © 2011 Wiley Periodicals, Inc.