Sökning: "Hierarkisk klustring"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden Hierarkisk klustring.

  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. Hierarchical Clustering using Brain-like Recurrent Attractor Neural Networks

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

    Författare :Hannah Kühn; [2023]
    Nyckelord :Hierarchical Clustering; Attractor Network; Recurrent Neural Network; Brain-like computing; Hierarkisk klustring; Anlockningsnätverk; Återkommande neurala nätverk; Hjärnliknande databehandling;

    Sammanfattning : Hierarchical clustering is a family of machine learning methods that has many applications, amongst other data science and data mining. This thesis belongs to the research area of brain-like computing and introduces a novel approach to hierarchical clustering using a brain-like recurrent neural network. LÄS MER

  4. 3. Intelligence Extraction Using Machine Learning for Threat Identification Purposes : An Overview

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

    Författare :Jonatan Lindgren; [2022]
    Nyckelord :Machine learning; Radar threat identification; Clustering; Performance metrics for unsupervised learning; Feature scaling; Electronic warfare; Maskininlärning; Identifikation av radarhot; Klustring; Prestandamått för oövervakad inlärning; Skalning av dataparametrar; Elektronisk krigsföring;

    Sammanfattning : Radar is an invaluable tool for detecting and assessing threats on land, on the seas and in the air. To properly evaluate threats, radar operators construct threat libraries where the signal characteristics of emitters are stored and mapped to specific types of platforms. LÄS MER

  5. 4. SARS-CoV-2 Lineage Clustering : Using Unsupervised Machine Learning

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

    Författare :Amanda Hedlund; Fonzie Forsman; [2022]
    Nyckelord :;

    Sammanfattning : The methods of sequencing genetic information and the access to this information has proved to be very useful in the research and understanding of viruses. It can for example be used to develop vaccines, manage pandemics, and attempt to map the virus’ spread and development. LÄS MER

  7. 5. Exploring the TMD algorithm : A topological analysis of human and rodent neurons

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Claudia Berlin; Felix Nordström Qvarfordt; [2022]
    Nyckelord :;

    Sammanfattning : In this report, we study the topological differences and similarities between human and rodent neuron types. Specifically, we are exploring the Topological Morphology Descriptor (TMD) and what result we can achieve with this relatively new method. LÄS MER