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Clustering using PK-D: A connectivity and density dissimilarity
(Pergamon-Elsevier Science Ltd, 2016-06)
We present a new dissimilarity, which combines connectivity and density information. Usually, connectivity and density are conceived as mutually exclusive concepts; however, we discuss a novel procedure to merge both ...
Efeitos de interações de curto alcance e tamanho de clusters em sistemas desordenados
(Universidade Federal de Santa MariaBRFísicaUFSMPrograma de Pós-Graduação em Física, 2015-08-04)
The competition between cluster spin glass and ferromagnetism or antiferromagnetism
is studied in this work. The model considers clusters of spins with short-range
ferromagnetic or antiferromagnetic interactions (J0) and ...
Land use image classification through optimum-path forest clustering
(2011-11-16)
Land use classification has been paramount in the last years, since we can identify illegal land use and also to monitor deforesting areas. Although one can find several research works in the literature that address this ...
Land use image classification through optimum-path forest clustering
(2011-11-16)
Land use classification has been paramount in the last years, since we can identify illegal land use and also to monitor deforesting areas. Although one can find several research works in the literature that address this ...
A 3D Voronoi+Gapper Galaxy Cluster Finder in Redshift Space to z ∼ 0.2. II. An Abundant Cluster Population Dominated by Late-type Galaxies Unveiled
(IOP, 2020)
We identify 1901 galaxy clusters (N-g >= 2) with the VoML+G algorithm (Paper I) on the Two-Degree Field Galaxy Redshift Survey. We present the 341 clusters with at least 10 galaxies that are within 0.009 < z < 0.14 (the ...
Análise de cluster em um plano de saúde via wavelets
(Universidade Federal de Minas GeraisUFMG, 2013-02-22)
One of the issues that has led to concerns by operators of health plans, and at the same time, has been the subject of many studies, is rising costs and their concentration in a small portion of the portfolio. Within this ...
Reduced-rank estimation of genetic parameters for egg production traits and cluster analyses with predicted breeding values
(Taylor & Francis As, 2018-04-03)
The aims of this study were to compare the suitability of the multi-trait (MUT) model to estimate genetic parameters with that of 13 reduced-rank principal component models (PC1 to PC13), and then to explore the additive ...
Bayesian clustering and product partition models
(BLACKWELL PUBL LTD, 2003)
We present a decision theoretic formulation of product partition models (PPMs) that allows a formal treatment of different decision problems such as estimation or hypothesis testing and clustering methods simultaneously. ...
Assessment of Anthropometric Measurements for Obesity and Abnormal Body Fat Percentage Diagnosis Using k-means as Clustering Technique
(Communications in Computer and Information Science, 2021)
Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
(Elsevier, 2017-07)
This research aims to detect areas of homogeneous residential electric consumption in the Great La Plata, Buenos Aires, Argentina. This study will identify main socio-demographic factors that impact on the electricity ...