Biclustering analysis of functionals via penalized fusion

In biomedical data analysis, clustering is commonly conducted. Biclustering analysis conducts clustering in both the sample and covariate dimensions and can more comprehensively describe data heterogeneity. In most of the existing biclustering analyses, scalar measurements are considered. In this st...

Description complète

Détails bibliographiques

Publié dans:	Journal of multivariate analysis. - 1998. - 189(2022) vom: 01. Mai
Auteur principal:	Fang, Kuangnan (Auteur)
Autres auteurs:	Chen, Yuanxing, Ma, Shuangge, Zhang, Qingzhao
Format:	Article en ligne
Langue:	English
Publié:	2022
Accès à la collection:	Journal of multivariate analysis
Sujets:	Journal Article 62R10 Biclustering Functional data Penalized fusion primary 62H30