Developments on solutions of the normalized-cut-clustering problem without eigenvectors

Conference Object

Abstract: Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis.

Palabras claves:

Eigenvectors, Graph-based clustering, Normalized cut clustering, Quadratic forms

Autores:

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, K. L. Ponce-Guevara, Leandro L. Lorente-Leyva, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.

Fuentes:

scopus