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Clusters of people with type 2 diabetes in the general population: unsupervised machine learning approach using national surveys in Latin America and the Caribbean
(BMJ Publishing Group, 2021)
INTRODUCTION: We aimed to identify clusters of people with type 2 diabetes mellitus (T2DM) and to assess whether the frequency of these clusters was consistent across selected countries in Latin America and the Caribbean ...
Análisis de técnicas de clusterización en sistemas eléctricos de distribución
(2023-05)
The design of new distribution power lines is a task that engineers frequently encounter; this paper proposes to design medium and low-voltage power networks with the help of Clustering. Clustering methods have been used ...
A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain
Clustering algorithms such as k-means depend heavily on choosing an appropriate distance metric that reflect accurately the object proximities. A wide range of dissimilarities may be defined that often lead to different ...
Cluster: um software para auxílio em estudos de dados biológicos
(Universidade Federal de Minas GeraisUFMG, 2015-11-16)
The ever increasing availability of biological data gives rise to two problems: (i) data storage and management and (ii) the extraction of useful information from these data. The latter problem is one of the main challenges ...
Dynamic Rough-Fuzzy Support Vector Clustering
(IEEE, 2017)
Clustering is one of the main data mining tasks with many proven techniques and successful real-world applications. However, in changing environments, the existing systems need to be regularly updated in order to describe ...
Embedded Graphic User Interface for Automotive Cluster
(ITESO, 2017)
Stochastic Search of the Quantum Conformational Space of Small Lithium and Bimetallic Lithium-Sodium Clusters
(AMER CHEMICAL SOC, 2008-06-26)
In this paper we report the results obtained by an implementation and application of the simulated annealing
optimization procedure to the exploration of the conformational space of small neutral and charged lithium
clusters ...
A one-to-one correspondence between potential solutions of the cluster deletion problem and the minimum sum coloring problem, and its application to P4-sparse graphs
(Elsevier Science, 2015-08)
In this note we show a one-to-one correspondence between potentially optimal solutions to the cluster deletion problem in a graph G and potentially optimal solutions for the minimum sum coloring problem in G (i.e. the ...
Global optimization using a genetic algorithm with hierarchically structured population
(Elsevier B.V., 2014-05-01)
This paper applies a genetic algorithm with hierarchically structured population to solve unconstrained optimization problems. The population has individuals distributed in several overlapping clusters, each one with a ...