Essays about: "k-means algorithm"

Showing result 1 - 5 of 107 essays containing the words k-means 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. Estimating eco-friendly driving behavior in various traffic situations, using machine learning

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Ludvig Fors; [2023]
   Keywords : Machine learning; transformers; neural networks; casual inference; K-Means; driver behavior; fuel consumption;

   Abstract : This thesis investigates how various driver signals, signals that a truck driver can interact with, influences fuel consumption and what are the optimal values of these signals in various traffic conditions. More specifically, the objective is to estimate good driver behavior in various traffic conditions and compare bad driver behavior in similar situations to see how performing a specific driver action, changing a driver signal from the bad driver value to the corresponding good driver value impacts the fuel consumption. READ MORE

6. 5. 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