Sökning: "K-medoids"

Visar resultat 1 - 5 av 7 uppsatser innehållade ordet K-medoids.

  1. 1. Statistical Analysis on Aerodynamics of Passenger Vehicles

    Master-uppsats, Uppsala universitet/Sannolikhetsteori och kombinatorik

    Författare :Dingkang Peng; [2023]
    Nyckelord :statistics; aerodynamics; automotive engineering; causality; time series; cluster analysis;

    Sammanfattning : This thesis aims to use statistical methods to analyze wind tunnel data generated in automotive aerodynamics testing to understand the properties of aerodynamic force and pressure in a vehicle's working environment. The data used for analysis are visualized, clustered and finally analyzed for Granger causality to see whether a causal link exists between different variables. LÄS MER

  3. 2. Clustering of Unevenly Spaced Mixed Data Time Series

    Master-uppsats, KTH/Matematisk statistik

    Författare :Pierre Sinander; Asik Ahmed; [2023]
    Nyckelord :mixed data time series; unevenly spaced time series; clustering; dynamic time warping; Gower dissimilarity; time warping regularisation; numeriska och kategoriska tidsserier; ojämnt fördelade tidsserier; kluster analys; dynamic time warping; Gower dissimilaritet; regularisering av tidsförvränging;

    Sammanfattning : This thesis explores the feasibility of clustering mixed data and unevenly spaced time series for customer segmentation. The proposed method implements the Gower dissimilarity as the local distance function in dynamic time warping to calculate dissimilarities between mixed data time series. LÄS MER

  4. 3. Unsupervised learning of data representations in brain-like neural networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Arian Javdan; [2021]
    Nyckelord :;

    Sammanfattning : Recently, there has been a growing interest in brain-plausible neural networks that closely resemble the brain’s structure. However, conventional networks do not make good models for the brain since these connections are modelled differently, hence the interest in brain-plausible networks. LÄS MER

  5. 4. Development of simplified power grid models in EU project Spine

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Mohammad Alharbi; [2020]
    Nyckelord :Reduction Techniques; Aggregated Power Flow Models; REI; Optimal Power Flow; Julia;

    Sammanfattning : The electric power system is among the biggest and most complex man-made physical network worldwide. The increase of electricity demand, the integration of ICT technologies for the modernization of the electric grid and the introduction of intermittent renewable generation has resulted in further increasing the complexity of operating and planning the grid optimally. LÄS MER

  7. 5. Pattern analysis of the user behaviour in a mobile application using unsupervised machine learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Dusan Viktor Hrstic; [2019]
    Nyckelord :Clustering; HDBSCAN; K-medoids; data preprocessing; user behaviour; mobile application; Klustring; HDBSCAN; K-medoids; databearbetning; användarbeteende; mobila applikationer;

    Sammanfattning : Continuously increasing amount of logged data increases the possibilities of finding new discoveries about the user interaction with the application for which the data is logged. Traces from the data may reveal some specific user behavioural patterns which can discover how to improve the development of the application by showing the ways in which the application is utilized. LÄS MER