Issue 1/2023
Content (13 Articles)
Editorial for ADAC issue 1 of volume 17 (2023)
Maurizio Vichi, Andrea Cerioli, Hans A. Kestler, Akinori Okada, Claus Weihs
CenetBiplot: a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD
Nerea González-García, Ana Belén Nieto-Librero, Purificación Galindo-Villardón
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model
Abdollah Jalilian, Jorge Mateu
Optimal projections for Gaussian discriminants
David P. Hofmeyr, Francois Kamper, Michail C. Melonas
Clusterwise elastic-net regression based on a combined information criterion
Xavier Bry, Ndèye Niang, Thomas Verron, Stéphanie Bougeard
Notes on the H-measure of classifier performance
D. J. Hand, C. Anagnostopoulos
Minimum adjusted Rand index for two clusterings of a given size
José E. Chacón, Ana I. Rastrojo
Poisson degree corrected dynamic stochastic block model
Paul Riverain, Simon Fossier, Mohamed Nadif
Early identification of biliary atresia using subspace and the bootstrap methods
Kuniyoshi Hayashi, Eri Hoshino, Mitsuyoshi Suzuki, Kotomi Sakai, Masayuki Obatake, Osamu Takahashi
Robust mixture regression modeling based on two-piece scale mixtures of normal distributions
Atefeh Zarei, Zahra Khodadadi, Mohsen Maleki, Karim Zare
Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study
Theresa Ullmann, Anna Beer, Maximilian Hünemörder, Thomas Seidl, Anne-Laure Boulesteix
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint
Rosember Guerra-Urzola, Niek C. de Schipper, Anya Tonne, Klaas Sijtsma, Juan C. Vera, Katrijn Van Deun