Essays about: "silhouette analysis"

Showing result 1 - 5 of 25 essays containing the words silhouette analysis.

  1. 1. Exploring Greenhouse Gas Emissions and socio-economic factors for climate change mitigation: A worldwide clustering analysis

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

    Author : Anna Pasini; [2023]
    Keywords : GHG emissions; Climate Change; Panel Data; Gaussian Mixture Models Cluster Analysis; PCA; Business and Economics;

    Abstract : In response to the pressing need to address climate change and reduce global greenhouse gas (GHG) emissions, this study implemented Gaussian Mixture Models Clustering to detect the levels of GHG emissions and related socio-economic factors in 174 countries. To handle the panel data, Principal Component Analysis was conducted to achieve dimension reduction. READ MORE

  3. 2. 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

  4. 3. Evaluation of Machine Learning techniques for Master Data Management

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Fatime Toçi; [2023]
    Keywords : Master Data Management; Machine Learning; data quality; data duplicates;

    Abstract : In organisations, duplicate customer master data present a recurring problem. Duplicate records can result in errors, complication, and inefficiency since they frequently result from dissimilar systems or inadequate data integration. READ MORE

  5. 4. 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. 5. Quantification of the Performance of Algorithms for spectra Baseline Correction

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Ruijue Huang; [2023]
    Keywords : Physics and Astronomy;

    Abstract : Spectroscopy serves as a vital tool in both scientific research and industrial applications. In spectral analysis, baseline correction is important in order to be able to efficiently extract essential features. READ MORE