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A new index for clustering validation with overlapped clusters
(Pergamon-Elsevier Science Ltd, 2016-08)
External validation indexes allow similarities between two clustering solutions to be quantified. With classical external indexes, it is possible to quantify how similar two disjoint clustering solutions are, where each ...
The clusters Abell 222 and Abell 223: a multi-wavelength view
(EDP SCIENCES S A, 2010)
Context. The Abell 222 and 223 clusters are located at an average redshift z similar to 0.21 and are separated by 0.26 deg. Signatures of mergers have been previously found in these clusters, both in X-rays and at optical ...
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 ...
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 ...
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 ...