Pubblicazioni

Functional projection K -means

2024 - JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
Rocci, Roberto; Gattone, Stefano A.

A between-cluster approach for clustering skew-symmetric data

2023 - ADVANCES IN DATA ANALYSIS AND CLASSIFICATION
Vicari, Donatella; Di Nuzzo, Cinzia

Scaling effects on the periodic homogenization of a reaction-diffusion-convection problem posed in homogeneous domains connected by a thin composite layer

2022 - QUARTERLY OF APPLIED MATHEMATICS
Raveendran, V.; Cirillo, E. N. M.; de Bonis, I.; Muntean, A.

A short review on minimum description length: an application to dimension reduction in PCA

2022 - ENTROPY
Bruni, V.; Cardinali, M. L.; Vitulano, D.

Hierarchical disjoint principal component analysis

2022 - ASTA ADVANCES IN STATISTICAL ANALYSIS
Cavicchia, Carlo; Vichi, Maurizio; Zaccaria, Giorgia

Bending-torsion moments in thin multi-structures in the context of nonlinear elasticity

2020 - COMMUNICATIONS ON PURE AND APPLIED ANALYSIS
Ferreira, Rita; Zappale, Elvira

Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models

2020 - TEST
Farcomeni, A.; Ranalli, M.; Viviani, S.

Clustering and Dimensional Reduction for mixed variables

2019 - BEHAVIORMETRIKA
Vichi, M.; Vicari, D.; Kiers, H. A. L.

Oblivious Dimension Reduction fork-Means:Beyond Subspaces and the Johnson-Lindenstrauss Lemma

2019 - STOC '19 51st Annual ACM SIGACT Symposium on the Theory of Computing
Becchetti, Luca; Bury, Marc; Cohen-Addad, Vincent; Grandoni, Fabrizio; Schwiegelshohn, Chris Rene

A plug-in approach to sparse and robust principal component analysis

2016 - TEST
Greco, Luca; Farcomeni, Alessio

Some remarks about dimension reduction for $-Delta_1$

2015 - ASYMPTOTIC ANALYSIS
Zappale, Elvira; Amendola Maria, Emilia; Gargiulo, Giuliano

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