To understand how subspace clustering algorithms discover distinct bicluster types and how
their effectiveness has been validated, we offer a systematic literature review on available …

We investigate patterns of COVID-19 mortality across 20 Italian regions and their association
with mobility, positivity, and socio-demographic, infrastructural and environmental …

Osteosarcoma (OS) is a highly fatal bone tumor characterized by high degree of malignancy
and early lung metastasis. Traditional chemotherapy fails in improving the efficacy and …

We investigate patterns of COVID-19 mortality across 20 Italian regions and their association
with mobility, positivity, and socio-demographic, infrastructural and environmental …

Motif discovery is gaining increasing attention in the domain of functional data analysis.
Functional motifs are typical “shapes” or “patterns” that recur multiple times in different …

Biclustering can reveal functional patterns in common biological data such as gene
expression. Biclusters are ordered submatrices of a larger matrix that represent coherent …

Biclustering has been widely applied in recent years. Various algorithms have been
developed to perform biclustering applied to various cases. However, only a few studies …

En la literatura se han propuesto muchos esquemas y modelos de enrutamiento basados
en clustering en redes de sensores inalámbricas. El modelo propuesto en este trabajo …