Sökning: "Hierarchical clustering"

Visar resultat 6 - 10 av 115 uppsatser innehållade orden Hierarchical clustering.

  1. 6. Exploring Advanced Clustering Techniques for Business Descriptions : A Comparative Study and Analysis of DBSCAN, K-Means, and Hierarchical Clustering

    Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Författare :Wisam Orabi Alkhen; [2023]
    Nyckelord :Machine learning; Business descriptions; Search scope reduction; Relevant business terminology; Data analysis.;

    Sammanfattning : In this study, we introduce several approaches to analyze large volumes of business descriptions by applying machine learning clustering and classification algorithms. The goal is to efficiently classify these descriptions, reducing the search scope and allowing for better business insights and decision-making processes. LÄS MER

  3. 7. Segmenting Countries in the Food Packaging Market: A Cluster Analysis Approach

    Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Författare :Ninda Atikah Mawaddah; Aksaraphak Nijsathorn; [2023]
    Nyckelord :Unsupervised Machine Learning; Clustering; K-Means Clustering; Hierarchical Clustering; Principal Component Analysis; Business and Economics;

    Sammanfattning : The food packaging market has been witnessing substantial growth due to changing consumer lifestyles, urbanization, increased purchasing power, and growing environmental sustainability awareness. This growth presents significant opportunities for companies operating in this market. LÄS MER

  4. 8. Fault Detection in PV System using Machine Learning Technique

    Master-uppsats, Högskolan Dalarna/Mikrodataanalys

    Författare :Adhyapadi Apoorva Bhat; Jomin Koothenparambil Joy; [2023]
    Nyckelord :Machine learning; Fault Detection; Cluster; Regression model; PV System; Prediction; Solar Power; Renewable Energy;

    Sammanfattning : With the steady and rapid reliance on solar power as a viable alternative to traditional fuel-based energy, maintenance of solar panels is becoming an unavoidable issue for both producers and consumers. Machine learning techniques are useful in detecting solar panel faults and their life span. LÄS MER

  5. 9. 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

  7. 10. Heuristic Clustering Methods for Solving Vehicle Routing Problems

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Georgios Nordqvist; Erik Forsberg; [2023]
    Nyckelord :optimization; vehicle routing problem; sweep clustering; k-means clustering; hierarchical clustering;

    Sammanfattning : Vehicle Routing Problems are optimization problems centered around determining optimal travel routes for a fleet of vehicles to visit a set of nodes. Optimality is evaluated with regard to some desired quality of the solution, such as time-minimizing or cost-minimizing. LÄS MER