Essays about: "k-means"
Showing result 21 - 25 of 253 essays containing the word k-means.
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21. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning
University essay from Blekinge Tekniska HögskolaAbstract : Background: In this era of mobile wallet platforms, to ensure key requirements like high availability and performance, the company must have mechanisms in place to detect anomalies at any given point in time. Ericsson Wallet Platform(EWP), a mobile wallet platform, is facing the problem of manually analyzing all the logs and reports and taking comprehensive action decisions accordingly. READ MORE
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22. 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 teknikAbstract : 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
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23. Heuristic Clustering Methods for Solving Vehicle Routing Problems
University essay from KTH/Skolan för teknikvetenskap (SCI)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
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24. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset
University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionenAbstract : 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
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25. Statistical Analysis on Aerodynamics of Passenger Vehicles
University essay from Uppsala universitet/Sannolikhetsteori och kombinatorikAbstract : 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