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ORCIDAdvances in Data Analysis and Classification, Volume 9
Volume 9, Number 1, March 2015
- Editorial for Special Issue on Symbolic Data Analysis - Preface by the guest editors. 1-4
- Paolo Giordani
:
Lasso-constrained regression analysis for interval-valued data. 5-19 - Pierpaolo D'Urso, Livia De Giovanni, Riccardo Massari:
Trimmed fuzzy clustering for interval-valued data. 21-40 - Paulo M. M. Rodrigues, Nazarii Salish:
Modeling and forecasting interval time series with threshold models. 41-57 - Meiling Chen, Huiwen Wang, Zhongfeng Qin:
Principal component analysis for probabilistic symbolic data: a more generic and accurate algorithm. 59-79 - Antonio Irpino, Rosanna Verde:
Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance. 81-106 - Christiane Guinot, Denis Malvy, Jean-François Schémann, Filipe Afonso, Raja Haddad, Edwin Diday:
Strategies evaluation in environmental conditions by symbolic data analysis: application in medicine and epidemiology to trachoma. 107-119
Volume 9, Number 2, June 2015
- Editorial for issue 2/2015. 121-123
- Mónica Bécue-Bertaut, Jérôme Pagès:
Correspondence analysis of textual data involving contextual information: CA-GALT on principal components. 125-142 - Antonio Irpino, Rosanna Verde:
Basic statistics for distributional symbolic variables: a new metric-based approach. 143-175 - Jean-Patrick Baudry, Margarida G. M. S. Cardoso, Gilles Celeux, Maria José Amorim, Ana Sousa Ferreira:
Enhancing the selection of a model-based clustering with external categorical variables. 177-196 - Yuhong Wei, Paul D. McNicholas:
Mixture model averaging for clustering. 197-217 - Patrick J. F. Groenen, Niël J. le Roux, Sugnet Gardner-Lubbe:
Spline-based nonlinear biplots. 219-238
Volume 9, Number 3, September 2015
- Editorial for issue 3/2015. 239-241
- Naoto Yamashita, Shin-ichi Mayekawa:
A new biplot procedure with joint classification of objects and variables by fuzzy c-means clustering. 243-266 - Serge Iovleff:
Probabilistic auto-associative models and semi-linear PCA. 267-286 - Pavlo Mozharovskyi, Karl Mosler, Tatjana Lange:
Classifying real-world data with the DDα-procedure. 287-314 - Edoardo Otranto, Romana Gargano:
Financial clustering in presence of dominant markets. 315-339 - Uros Droftina, Mitja Stular, Andrej Kosir:
A diffusion model for churn prediction based on sociometric theory. 341-365
Volume 9, Number 4, December 2015
- Special issue on "New trends on model-based clustering and classification" - Preface by the Guest Editors: Salvatore Ingrassia, Geoffrey J. McLachlan, Gérard Govaert. 367-369
- Hien Duy Nguyen, Geoffrey J. McLachlan:
Maximum likelihood estimation of Gaussian mixture models without matrix operations. 371-394 - Xuwen Zhu, Volodymyr Melnykov:
Probabilistic assessment of model-based clustering. 395-422 - Wan-Lun Wang, Tsung-I Lin:
Robust model-based clustering via mixtures of skew-t distributions with missing information. 423-445 - Luca Scrucca, Adrian E. Raftery:
Improved initialisation of model-based clustering using Gaussian hierarchical partitions. 447-460 - Marco Riani, Andrea Cerioli, Domenico Perrotta, Francesca Torti:
Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library. 461-481 - Maria Francesca Marino, Marco Alfò:
Latent drop-out based transitions in linear quantile hidden Markov models for longitudinal responses with attrition. 483-502
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