16 resultados para k-Means algorithm
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Dissertation presented at Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia in fulfilment of the requirements for the Masters degree in Mathematics and Applications, specialization in Actuarial Sciences, Statistics and Operations Research
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Dissertation presented at the Faculty of Science and Technology of the New University of Lisbon in fulfillment of the requirements for the Masters degree in Electrical Engineering and Computers
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Thesis submitted in the fulfillment of the requirements for the Degree of Master in Biomedical Engineering
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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica
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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Ciência e Sistemas de Informação Geográfica
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O paradigma de avaliação do ensino superior foi alterado em 2005 para ter em conta, para além do número de entradas, o número de alunos diplomados. Esta alteração pressiona as instituições académicas a melhorar o desempenho dos alunos. Um fenómeno perceptível ao analisar esse desempenho é que a performance registada não é nem uniforme nem constante ao longo da estadia do aluno no curso. Estas variações não estão a ser consideradas no esforço de melhorar o desempenho académico e surge motivação para detectar os diferentes perfis de desempenho e utilizar esse conhecimento para melhorar a o desempenho das instituições académicas. Este documento descreve o trabalho realizado no sentido de propor uma metodologia para detectar padrões de desempenho académico, num curso do ensino superior. Como ferramenta de análise são usadas técnicas de data mining, mais precisamente algoritmos de agrupamento. O caso de estudo para este trabalho é a população estudantil da licenciatura em Eng. Informática da FCT-UNL. Propõe-se dois modelos para o aluno, que servem de base para a análise. Um modelo analisa os alunos tendo em conta a sua performance num ano lectivo e o segundo analisa os alunos tendo em conta o seu percurso académico pelo curso, desde que entrou até se diplomar, transferir ou desistir. Esta análise é realizada recorrendo aos algoritmos de agrupamento: algoritmo aglomerativo hierárquico, k-means, SOM e SNN, entre outros.
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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
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The basic motivation of this work was the integration of biophysical models within the interval constraints framework for decision support. Comparing the major features of biophysical models with the expressive power of the existing interval constraints framework, it was clear that the most important inadequacy was related with the representation of differential equations. System dynamics is often modelled through differential equations but there was no way of expressing a differential equation as a constraint and integrate it within the constraints framework. Consequently, the goal of this work is focussed on the integration of ordinary differential equations within the interval constraints framework, which for this purpose is extended with the new formalism of Constraint Satisfaction Differential Problems. Such framework allows the specification of ordinary differential equations, together with related information, by means of constraints, and provides efficient propagation techniques for pruning the domains of their variables. This enabled the integration of all such information in a single constraint whose variables may subsequently be used in other constraints of the model. The specific method used for pruning its variable domains can then be combined with the pruning methods associated with the other constraints in an overall propagation algorithm for reducing the bounds of all model variables. The application of the constraint propagation algorithm for pruning the variable domains, that is, the enforcement of local-consistency, turned out to be insufficient to support decision in practical problems that include differential equations. The domain pruning achieved is not, in general, sufficient to allow safe decisions and the main reason derives from the non-linearity of the differential equations. Consequently, a complementary goal of this work proposes a new strong consistency criterion, Global Hull-consistency, particularly suited to decision support with differential models, by presenting an adequate trade-of between domain pruning and computational effort. Several alternative algorithms are proposed for enforcing Global Hull-consistency and, due to their complexity, an effort was made to provide implementations able to supply any-time pruning results. Since the consistency criterion is dependent on the existence of canonical solutions, it is proposed a local search approach that can be integrated with constraint propagation in continuous domains and, in particular, with the enforcing algorithms for anticipating the finding of canonical solutions. The last goal of this work is the validation of the approach as an important contribution for the integration of biophysical models within decision support. Consequently, a prototype application that integrated all the proposed extensions to the interval constraints framework is developed and used for solving problems in different biophysical domains.
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Glauconite K-Ar ages (6.88±0.4; 7.03±0.4 MY) confirm earlier reports to Upper Tortonian of silt beds near Morgadinho, Luz de Tavira and Tavira. Taking stratigraphical position and age into account it is possible now to correlate these beds with similar ones at Quelfes and Cacela (Formação de Cacela, lower member, ascribed to the upper part of N16 or to NI7 Blow's zone, Globorotalia humerosa - G. dutertrei; Tortonian to Messinian, according to the ostracod fauna). Limit between the above quoted zones is thus placed at about 7 MY. New K-Ar ages greatly improve the knowledge about Upper Miocene in eastern Algarve, and on regional tectonic evolution. This is particulary so in what concerns an intra-Tortonian phase.
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In the southern part of Tagus basin, North of paleozoic rocks of Valverde-Senhor das Chagas (near Alcácer do Sal) horst, a marine transgression has been recognized, Upper Serravallian, and maybe Lower Tortonian in age. There are no earlier marine deposits, and no younger ones are known either. Paleozoic behaved as a barrier separating two basins, distinct at least since Middle Miocene until Upper Pleistocene. Until now, both were regarded as a single entity, the so-called «Sado basin» Southwards (Alvalade basin) there has been a single transgression. It was assummed that it was the same one as the former. Indeed it is not definitely so. Later transgression accounts for Esbarrondadoiro Formation, whose deposits have been ascribed to Tortonian or even to Middle Miocene. However they are Upper Messinian to Lower Zanclean. Esbarrondadoiro Formation is younger than Lower Member of Cacela Formation in Algarve and, with even stronger reason, than the upper-most well dated marine levels in Tagus basin. Age of Miocene units dealt with here has been based on small mammals found in marine sands.
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Informática
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IEEE International Symposium on Circuits and Systems, pp. 724 – 727, Seattle, EUA
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Informática
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Trabalho apresentado no âmbito do European Master in Computational Logics, como requisito parcial para obtenção do grau de Mestre em Computational Logics
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores