Sökning: "k-means cluster"

Visar resultat 1 - 5 av 94 uppsatser innehållade orden k-means cluster.

  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

  2. 2. Forecasting With Feature-Based Time Series Clustering

    Master-uppsats, Jönköping University/Tekniska Högskolan

    Författare :Conrad Tingström; Johan Åkerblom Svensson; [2023]
    Nyckelord :demand forecasting; time series prediction; time series clustering;

    Sammanfattning : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. LÄS MER

  3. 3. 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

  4. 4. Identifying Linguistic Variants in Middle Low German : Using tools from Data Science and Natural Language Processing to automate the analysis of Middle Low German texts

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Lovisa Eriksson; William Brenham Hooper; [2023]
    Nyckelord :;

    Sammanfattning : During the 15th century, the printing press was introduced to Germany, and Europe as a whole. It has long been believed that standardization of the written language came as a direct consequence of this invention, but the studies supporting this theory are small in scale. LÄS MER

  5. 5. Nanoparticle synthesis analysis : Program for data visualization and cluster analysis of nanoparticle synthesis protocols

    Kandidat-uppsats, Uppsala universitet/Institutionen för elektroteknik

    Författare :Emil Juviken Hultman; Jacob Signeul; Lucas Lindborg; Eskil Silfur; [2023]
    Nyckelord :Dataanalysverktyg;

    Sammanfattning : As energy demands rise across the globe, new clean energy solutions must be developed. Peafowl Plasmonics is developing a direct solar harvesting device using plasmonic technology. To expand their business and increase manufacturing scalability, nanoparticle synthesis protocols must be made. LÄS MER