Essays about: "Klusteranalys"

Showing result 6 - 10 of 47 essays containing the word Klusteranalys.

  1. 6. United through Division: An Innovative Approach to European Monetary Policy : A Study of the Optimal Currency Areas in the European Union through Cluster Analysis Conducted on Samples Between 2007–2019

    University essay from Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten

    Author : Marinda Gadén; Alexander Granberg; [2023]
    Keywords : European Union; Monetary Union; Cluster Analysis; European Monetary Union; Euro; Europäische Union; Währungsunion; Klusteranalyse; Europäische Wirtschafts-und Währungsunion; Euro; Europeiska unionen; valutaunion; klusteranalys; europeiska monetära unionen; Euro;

    Abstract : The study deals with the theory of optimal currency areas complemented with the EU's Maastricht criteria in order to investigate how today’s Economic and Monetary Union of the European Union can be divided into smaller unions with countries that are more homogeneous based on said criteria compared to the current larger currency union. To investigate this, we use cluster analysis as the method easily enables analysis of similarities and differences between countries. READ MORE

  3. 7. Computing Equivalent hydropower models in Sweden using inflow clustering

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Daniel Lilja; [2023]
    Keywords : Hydropower; Equivalent; Bilevel; Optimization; Clustering; Inflow; Sweden; Vattenkraft; Ekvivalent; Bilevel; Optimering; Klusteranalys; Inflöde; Sverige;

    Abstract : To simulate a hydropower system, one can use what is known as a Detailed model. However, due to the complexity of river systems, this is often a computationally heavy task. Equivalent models, which aim to reproduce the result of a Detailed model, are used to significantly reduce the computation time for these simulations. READ MORE

  4. 8. Feature extraction from MEG data using self-supervised learning : Investigating contrastive representation learning methods to f ind informative representations

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Wilhelm Ågren; [2022]
    Keywords : Machine learning; Deep learning; Self-supervised learning; Cluster analysis; SimCLR; Magnetoencephalography; Partial sleep deprivation; Wavelet transform; Maskininlärning; Djupinlärning; Självövervakad inlärning; Klusteranalys; SimCLR; Magnetoencefalografi; Delvis sömndeprivering; Wavelet transform;

    Abstract : Modern day society is vastly complex, with information and data constantly being posted, shared, and collected everywhere. There is often an abundance of massive amounts of unlabeled data that can not be leveraged in a supervised machine learning context. READ MORE

  5. 9. Comfort and Security, But at What Cost? : A Study Using a Metric – Based Conjoint Analysis to Estimate the Willingness to Pay for Bundled Smart Home Technology

    University essay from KTH/Fastighetsföretagande och finansiella system

    Author : William Hultström; Axel Bjöörn; [2022]
    Keywords : Smart Home; Smart Home Technology; SHT; Conjoint Analysis; Smarta Hem; Smarta Hem Teknologi; SHT ; Conjoint Analysis;

    Abstract : The presence of Smart Technology is becoming more prevalent in our homes with the rise of the Internet of Things. Although this technology is said to ease everyday chores and make our homes safer, the adoption has been slower than first anticipated by researchers. READ MORE

  6. 10. Predicting Quality of Experience from Performance Indicators : Modelling aggregated user survey responses based on telecommunications networks performance indicators

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Christian Vestergaard; [2022]
    Keywords : Quality of Experience; Telecommunication; Regression; Long Short Term Memmory; Clustering; K-means; Gaussian Mixture Models; Användarupplevelse; Telekommunikation; Regression; Long Short Term Memmory; Klusteranalys; K-means; Gaussian Mixture Models;

    Abstract : As user experience can be a competitive edge, it lies in the interest of businesses to be aware of how users perceive the services they provide. For telecommunications operators, how network performance influences user experience is critical. To attain this knowledge, one can survey users. READ MORE