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Advances in Data Analysis and Classification, Volume 18
Volume 18, Number 1, March 2024
- Luis Angel García-Escudero, Salvatore Ingrassia, Thomas Brendan Murphy:
Special issue on "advances in models and learning for clustering and classification". 1-4 - Sangkon Oh, Byungtae Seo:
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors. 5-31 - Nam-Hwui Kim, Ryan P. Browne:
Flexible mixture regression with the generalized hyperbolic distribution. 33-60 - Salvatore D. Tomarchio, Luca Bagnato, Antonio Punzo:
Model-based clustering using a new multivariate skew distribution. 61-83 - Xuwen Zhu, Yana Melnykov, Angelina S. Kolomoytseva:
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter. 85-101 - Tin Lok James Ng, Andrew Zammit-Mangion:
Mixture modeling with normalizing flows for spherical density estimation. 103-120 - Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst, Tim Verdonck:
Co-clustering contaminated data: a robust model-based approach. 121-161 - Donatella Vicari, Cinzia Di Nuzzo:
A between-cluster approach for clustering skew-symmetric data. 163-192 - Gian Marco Paldino, Bertrand Lebichot, Yann-Aël Le Borgne, Wissam Siblini, Frédéric Oblé, Giacomo Boracchi, Gianluca Bontempi:
The role of diversity and ensemble learning in credit card fraud detection. 193-217 - Félix Vandervorst, Wouter Verbeke, Tim Verdonck:
Claims fraud detection with uncertain labels. 219-243
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