Neste trabalho estudamos networks e métodos de Clustering Hierárquico de forma axiomática. Apresentamos alguns programas na linguagem Python aplicados à análise de dados de migração populacional, com o intuito de ilustrar ...

Immigration to Chile is not large (just under 2% of the total population) but has increased in recent years. This study aimed to analyse the socioeconomic status (SES) of immigrants in Chile and compare it with the ...

Immigration to Chile is not large (just under 2% of the total population) but has increased in recent years. This study aimed to analyse the socioeconomic status (SES) of immigrants in Chile and compare it with the ...

An integrated framework for density-based cluster analysis, outlier detection, and data visualization is introduced in this article. The main module consists of an algorithm to compute hierarchical estimates of the level ...

Increasingly, the deployment of e-government initiatives in the Public Administration arena has become mandatory. However, the adoption of this new paradigm needs to be followed up with training processes involving all the ...

Purpose: The purpose of this study is to apply hybrid cluster analysis in classifying PT Pelindo I customers based on the level of customer satisfaction with passenger services of PT Pelindo I. Design/methodology/approach: ...

It is usually assumed that co-expressed genes suggest co-regulation in the underlying regulatory network. Determining sets of co-expressed genes is an important task, based on some criteria of similarity. This task is ...

This paper presents DivClusFD, a new divisive hierarchical method for the non-supervised classification of functional data. Data of this type present the peculiarity that the differences among clusters may be caused by ...