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Visar resultat 1 - 5 av 162 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Klusteranalys : Tillämpning av agglomerativ hierarkisk och k-means klustring för att hitta bra kluster bland fotbollsspelare baserat på spelarstatistik.

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Sacko Balbas; Arvid Törnquist; [2024]
    Nyckelord :Cluster analysis; hierarchical clustering; k-means clustering; La Liga; football; algorithm; machine learning.;

    Sammanfattning : This work is about how the multivariate analysis tool cluster analysis can be appliedto find meaningfull groups of players based on player statistics. The aim of the work isan attempt to find good clusters among players within the Spanish top football divisionLa Liga for the 2022-2023 season. LÄS MER

  3. 2. The deductibles impact on the risk premium

    Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Ludvig Bergman; [2023]
    Nyckelord :deductible; insurance mathematics; non-life insurance pricing; Försäkringsmatematik; självrisk; självrisker;

    Sammanfattning : The aim of this master thesis is to derive methods that assesses the impact the deductiblehas on the risk premium of an insurance contract. The additive structure of a deductiblenecessitates approaches beyond treating it as a regular covariate in a generalized linearmodel for predicting the risk premium. LÄS MER

  4. 3. Robust Statistical Jump Models with Feature Selection

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Jonatan Persson; [2023]
    Nyckelord :Clustering; Jump; Feature selection; Robust; Mathematics and Statistics;

    Sammanfattning : A large area in statistics and machine learning is cluster analysis. This field of research concerns the design of algorithms that allow computers to automatically categorize a set of observations into different groups in a reasonable way, without any prior information about which observations belongs to which group. LÄS MER

  5. 4. Unsupervised Clustering of Behavior Data From a Parking Application : A Heuristic and Deep Learning Approach

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Edvard Magnell; Joakim Nordling; [2023]
    Nyckelord :ML; Machine learning; clustering; unsupervised learning; deep learning; autoencoder; AI; artificial intelligence;

    Sammanfattning : This report aims to present a project in the field of unsupervised clustering on human behavior in a parking application. With increasing opportunities to collect and store data, the demands to utilize the data in meaningful ways also increase. LÄS MER

  7. 5. Hidden Markov Models for Intrusion Detection Under Background Activity

    Master-uppsats, KTH/Matematisk statistik

    Författare :Robert Siridol-Kjellberg; [2023]
    Nyckelord :Hidden Markov models; Cyber security; Intrusion detection; Clustering; Background subtraction; Dolda Markovmodeller; Cybersäkerhet; Dataintrång; Klustring; Bakgrundssubtraktion;

    Sammanfattning : Detecting a malicious hacker intruding on a network system can be difficult. This challenge is made even more complex by the network activity generated by normal users and by the fact that it is impossible to know the hacker’s exact actions. LÄS MER