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Diversity control for improving the analysis of consensus clustering
(Elsevier Science Inc, 2016-09)
Consensus clustering has emerged as a powerful technique for obtaining better clustering results, where a set of data partitions (ensemble) are generated, which are then combined to obtain a consolidated solution (consensus ...
Different clusters in patients with chronic obstructive pulmonary disease (Copd): A two-center study in brazil
(2020-01-01)
Background: Chronic obstructive pulmonary disease (COPD) has a functional definition. However, differences in clinical characteristics and systemic manifestations make COPD a heterogeneous disease and some manifestations ...
Using independent component for clustering of time series data
(Elsevier, 2020)
A NEW METHOD TO QUANTIFY X-RAY SUBSTRUCTURES IN CLUSTERS OF GALAXIES
(IOP PUBLISHING LTDBRISTOL, 2012)
We present a new method to quantify substructures in clusters of galaxies, based on the analysis of the intensity of structures. This analysis is done in a residual image that is the result of the subtraction of a surface ...
Citizen criminality assessment in lima city using the grey clustering method
(Institute of Electrical and Electronics Engineers Inc., 2017-08)
Citizen criminality has become an important social problem in Lima city, due to the fact that the number of crimes has increased. In this study, we conducted a citizen criminality assessment using the grey clustering method, ...
Spiral-like structure at the centre of nearby clusters of galaxies
(EDP SCIENCES S A, 2010)
Context. X-ray data analysis have found that fairly complex structures at cluster centres are more common than expected. Many of these structures have similar morphologies, which exhibit spiral-like substructure. Aims. It ...
Hierarchical density estimates for data clustering, visualization, and outlier detection
(ACMNew York, 2015-07)
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 ...