Essays about: "K-means clustering algorithm"

Showing result 1 - 5 of 83 essays containing the words K-means clustering algorithm.

  1. 1. Classifying Previous Covid-19 Infection : Advanced Logistic Regression Approach

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Daniel Westerholm; [2023]
    Keywords : Covid-19; logistic regression; clustering;

    Abstract : The study aimed to developed a logistic model based on antibody proteins, vaccinations and demographic factors that predicts previous infection in Covid-19. The data set comprised of 2750 individuals from eldercare homes in Sweden, with four test dates executed between October of 2021 and August of 2022. READ MORE

  3. 2. Fixation and Machine Learning A new method for measuring fixation in internet users using machine learning and natural language processing

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Katarina Rivera Ahlin; [2023]
    Keywords : ;

    Abstract : Fixation — the state of mind where an individual is intensely fixated on one individual, activity or idea —  can be an early warning sign of an individual that will later go on to commit violent acts. This paper details the development of a method that measures fixation from texts written on internet forums, a method that could (when expanded) be a part of threat assessment and prevention of violence. READ MORE

  4. 3. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

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

    Author : David Yu; [2023]
    Keywords : Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

    Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE

  5. 4. Segmenting Countries in the Food Packaging Market: A Cluster Analysis Approach

    University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

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

    Abstract : 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. READ MORE

  6. 5. Beståndsanpassad aptering: metodutveckling och utfallsprövning : effekter av varierande längdstyrning i egenskapsskilda beståndsgrupper

    University essay from SLU/Department of Forest Biomaterials and Technology (from 131204)

    Author : William Svederberg; [2023]
    Keywords : beståndsanpassad aptering; maskininlärning; produktionsstyrning;

    Abstract : Idag är tillgången till skogliga data mycket stor. En bidragande faktor till detta är insamlingen av data vid maskinell avverkning. Denna datamängd används i stor utsträckning för bland annat produktionsuppföljning men med viss bearbetning kan de användas för att digitalt återskapa den avverkade skogen. READ MORE