Výsledky vyhľadávania - "Theory of computation → Unsupervised learning and clustering"

Noisy k-Means++ Revisited

Autori: Grunau, Christoph Özüdoğru, Ahmet Alper Rozhoň, Václav a ďalší

Prispievatelia: Grunau, Christoph Özüdoğru, Ahmet Alper Rozhoň, Václav a ďalší

Zdroj: Leibniz International Proceedings in Informatics (LIPIcs), 274
31st Annual European Symposium on Algorithms (ESA 2023)

Predmety: Theory of computation → Approximation algorithms analysis, Theory of computation → Unsupervised learning and clustering, Clustering, K-means, K-means++, Adversarial noise

Popis súboru: application/application/pdf

Prístupová URL adresa: http://hdl.handle.net/20.500.11850/637195

Kalathos+: Construcción de datasets para la clasificación automática de fragmentos de vasijas cerámicas de torno

Autori: Segura, Rafael J. Rueda, Antonio J. Ogáyar, Carlos J. a ďalší

Predmety: Applied computing, Arts and humanities, Unsupervised learning and clustering, Computational geometry, CCS Concepts: Applied computing --> Arts and humanities, Theory of computation --> Unsupervised learning and clustering, Theory of computation