Essays about: "K-means clustering"

Showing result 16 - 20 of 201 essays containing the words K-means clustering.

  1. 16. Exploratory Data Analysis of Live 5G Radio Access Network Configuration Data Using Interpretable Machine Learning

    University essay from Linköpings universitet/Databas och informationsteknik

    Author : Fredrik Olsson; Erik Sköld; [2023]
    Keywords : ;

    Abstract : In the increasingly connected world of today, people are more reliant on online services than ever before. To enhance network performance, efforts needs to be made to better understand the telecommunication system. READ MORE

  3. 17. The Myth of Incentive-Based Sales Strategies: an Empirical Analysis Contradicting Prevailing Theories using Data Mining and Hypothesis Testing Techniques

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Yidan (Nickia) Liang; [2023]
    Keywords : Reward Program; Reward Evaluation; Data Mining; RFM; Customer Segmentation; Clustering; K-Means; Hypothesis Testing; One-Sided T-Test; Marketing Effectiveness; Incentive-Based Sales Strategy; Sales Promotion;

    Abstract : In recent decades, the use of incentive-based reward programs to foster customer loyalty and promote sales has become prevalent in various industries. While these strategies are widely accepted and implemented, there is a significant gap in empirical studies to ascertain their real-world effectiveness. READ MORE

  4. 18. Heuristic Clustering Methods for Solving Vehicle Routing Problems

    University essay from KTH/Skolan för teknikvetenskap (SCI)

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

    Abstract : 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. READ MORE

  5. 19. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset

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

    Author : Emilie Ståhle; Emilie Haubrich; [2023]
    Keywords : Human Rights Violation; Clustering; K-Means; Latent Class Analysis; Transition Matrix; Business and Economics;

    Abstract : This master's thesis explores the use of unsupervised machine learning techniques to cluster countries based on their degree of human rights violations. Accordingly, the study evaluates the performance of two clustering methods, K-Means clustering and Latent Class Analysis (LCA), using two cluster validation metrics (Silhouette Coefficient and Dunn Index), as well as an Accuracy measure using the Human Rights index. READ MORE

  6. 20. Statistical Analysis on Aerodynamics of Passenger Vehicles

    University essay from Uppsala universitet/Sannolikhetsteori och kombinatorik

    Author : Dingkang Peng; [2023]
    Keywords : statistics; aerodynamics; automotive engineering; causality; time series; cluster analysis;

    Abstract : This thesis aims to use statistical methods to analyze wind tunnel data generated in automotive aerodynamics testing to understand the properties of aerodynamic force and pressure in a vehicle's working environment. The data used for analysis are visualized, clustered and finally analyzed for Granger causality to see whether a causal link exists between different variables. READ MORE