22 December 2023 POLITECNICO DI TORINO Repository ISTITUZIONALE Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data / Cirrincione, Giansalvo; Randazzo, Vincenzo; Pasero, EROS GIAN ALESSANDRO (SMART INNOVATION, SYSTEMS AND TECHNOLOGIES). - In: Multidisciplinary Approaches to Neural Computing / Esposito, A., Faundez-Zanuy, M., Morabito, F.C., Pasero, E.. - ELETTRONICO. - [s.l] : Springer International Publishing, 2017. - ISBN 978-3-319-56904-8. - pp. 151- 160 [10.1007/978-3-319-56904-8_15] Original Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data Springer postprint/Author's Accepted Manuscript Publisher: Published DOI:10.1007/978-3-319-56904-8_15 Terms of use: Publisher copyright This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-319-56904-8_15 (Article begins on next page) This article is made available under terms and conditions as specified in the corresponding bibliographic description in the repository Availability: This version is available at: 11583/2679577 since: 2020-10-21T11:11:17Z Springer International Publishing