Essays about: "k-means"

Showing result 6 - 10 of 253 essays containing the word k-means.

  1. 6. The deductibles impact on the risk premium

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Ludvig Bergman; [2023]
    Keywords : deductible; insurance mathematics; non-life insurance pricing; Försäkringsmatematik; självrisk; självrisker;

    Abstract : The aim of this master thesis is to derive methods that assesses the impact the deductiblehas on the risk premium of an insurance contract. The additive structure of a deductiblenecessitates approaches beyond treating it as a regular covariate in a generalized linearmodel for predicting the risk premium. READ MORE

  3. 7. Active learning for text classification in cyber security

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Amanda Carp; [2023]
    Keywords : Interactive machine learning; Active learning; Cost-effective active learning; Cyber environment; Interaktiv maskininlärning; Aktiv inlärning; Kostnadseffektiv aktiv inlärning; Cyberdomänen;

    Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE

  4. 8. 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. 9. Exploring Advanced Clustering Techniques for Business Descriptions : A Comparative Study and Analysis of DBSCAN, K-Means, and Hierarchical Clustering

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Wisam Orabi Alkhen; [2023]
    Keywords : Machine learning; Business descriptions; Search scope reduction; Relevant business terminology; Data analysis.;

    Abstract : 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. READ MORE

  6. 10. Identifying Linguistic Variants in Middle Low German : Using tools from Data Science and Natural Language Processing to automate the analysis of Middle Low German texts

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Lovisa Eriksson; William Brenham Hooper; [2023]
    Keywords : ;

    Abstract : During the 15th century, the printing press was introduced to Germany, and Europe as a whole. It has long been believed that standardization of the written language came as a direct consequence of this invention, but the studies supporting this theory are small in scale. READ MORE