A fast feature vector approach for revealing simplex and equi-correlation data patterns in reorderable matrices

A fast feature vector approach for revealing simplex and equi-correlation data patterns in reorderable matrices

Celmar Guimarães da Silva, Bruno Figueiredo Medina, Maressa Rodrigues da Silva, Willian Hitoshi Kawakami, Miguel Mechi Naves Rocha

ARTIGO

Inglês

Reorderable matrices may be used as support for tabular displays such as heatmaps. Matrix reordering algorithms provide an initial permutation of these matrices, which should help to reveal hidden patterns in the dataset in the visual structure. Some of t

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

Fechado

A fast feature vector approach for revealing simplex and equi-correlation data patterns in reorderable matrices

Celmar Guimarães da Silva, Bruno Figueiredo Medina, Maressa Rodrigues da Silva, Willian Hitoshi Kawakami, Miguel Mechi Naves Rocha


										

A fast feature vector approach for revealing simplex and equi-correlation data patterns in reorderable matrices

Celmar Guimarães da Silva, Bruno Figueiredo Medina, Maressa Rodrigues da Silva, Willian Hitoshi Kawakami, Miguel Mechi Naves Rocha

    Fontes

    Information visualization

    Vol. 16, no. 4 (Oct., 2017), p. 261-274