Hiererachical clustering, that is computing a recursive partitioning of a dataset to obtain
clusters at increasingly finer granularity is a fundamental problem in data analysis. Although …

Background Biological data comprises various topologies or a mixture of forms, which
makes its analysis extremely complicated. With this data increasing in a daily basis, the …

Distance-based hierarchical clustering (HC) methods are widely used in unsupervised data
analysis but few authors take account of uncertainty in the distance data. We incorporate a …

In many statistical modeling problems data are expressed in a matrix with subjects in row
and attributes in column. In this regard, simultaneous grouping of rows and columns known …

El crimen es un resultado de varios componentes (social, político, económico y ambiental),
que sucede en cierto lugar geográfico y en cierto tiempo especifico. Es muy importante …