Abstract is missing.
- The symbolic data analysis paradigm, discriminant discretization and financial applicationEdwin Diday, Filipe Afonso, Raja Haddad. 1-14 [doi]
- Adaptive Dynamic Clustering Algorithm for Interval-valued Data based on Squared-Wasserstein DistanceRong Guan, Yves Lechevallier, Huiwen Wang. 15-30 [doi]
- Symbolic Principal Components for Interval-Valued DataLynne Billard, J. Le-Rademacher. 31-39 [doi]
- The style characteristic of China's stock market: an application to PCA for interval symbolic dataDingmu Cao, Wen Long. 40-57 [doi]
- Normalizing Constrained Symbolic Data for ClusteringMarc Csernel, Francisco de Assis Tenório de Carvalho. 58-77 [doi]
- Multiple Linear Regression for Histogram Data using Least Squares of Quantile Functions: a Two-components modelRosanna Verde, Antonio Irpino. 78-93 [doi]
- Analysis of m sets of symbolic interval variablesSun Makosso-Kallyth. 93-108 [doi]
- General overview of methods of analysis of multi-group datasetsAida Eslami, Achim Kohler, Mostafa El Qannari, Stéphanie Bougeard. 108-123 [doi]
- Hierarchical Mixed Topological MapsNdeye Niang, Mory Ouattara. 123-138 [doi]
- Principal Component Analysis of Functional Data based on Constant Numerical CharacteristicsMeiling Chen, Huiwen Wang. 138-154 [doi]
- Graph Aggregation : Application to Social NetworksAmine Louati, Marie-Aude Aufaure, Yves Lechevallier. 157-177 [doi]
- A hybrid recommender system to predict online job offer performanceJulie Séguéla, Gilbert Saporta. 177-197 [doi]