Sökning: "agglomerative clustering"

Visar resultat 1 - 5 av 30 uppsatser innehållade orden agglomerative clustering.

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

   Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Katarina Rivera Ahlin; [2023]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

4. 3. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Lukas Tonneman; [2023]
   Nyckelord :time-series analysis; clustering; electricity consumer clustering; anomaly detection; gaussian mixture model; hierarchical clustering;

   Sammanfattning : Improving the energy efficiency of buildings is important for many reasons. There is a large body of data detailing the hourly energy consumption of buildings. This work studies a large data set from the Swedish energy market. LÄS MER

5. 4. 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

7. 5. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Luigi Assom; [2023]
   Nyckelord :animal decision making; unsupervised machine learning; UMAP; autoencoders; classifiers; bioacoustics; combinatory syntax; animal communication;

   Sammanfattning : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. LÄS MER