Essays about: "hierarchical cluster analysis"

Showing result 1 - 5 of 38 essays containing the words hierarchical cluster analysis.

  1. 1. Analysis of Similarities Using Cluster Analysis : An Application of Political Views

    University essay from Karlstads universitet/Fakulteten för humaniora och samhällsvetenskap (from 2013)

    Author : Joakim Andersson Svendsen; [2023]
    Keywords : ;

    Abstract : The objective of this paper is to study cluster analysis to identify similarities. To enhance the accuracy of the analysis, two clustering methodologies were employed. READ MORE

  3. 2. 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

  4. 3. 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

  5. 4. An Application of Cluster Analysis in Identifying and Evaluating Prognostic Subgroups for Therapy-Related Acute Myeloid Leukemia

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Stefanie Antonilli; [2022]
    Keywords : AML; lymphoma; heterogeneous data; cluster analysis; k-prototypes algorithm;

    Abstract : Treatment for lymphoma with alkylating therapy is known to increase the risk of secondary malignancies such as Acute Myeloid Leukemia (AML), although the risk is not fully understood. This study investigates the characteristics of AML that arise after lymphoma treatment in contrastto AML cases without a prior lymphoma. READ MORE

  6. 5. Comparison of initialization methods of K-means clustering for small data

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Liam Tabibzadeh; [2022]
    Keywords : Statistics; Clustering; K-means; Hierarchical; Initialization method; Simulation; Experiment; Factorial Design; Monte Carlo Simulation; Monte Carlo; Data; Classification; Cluster Analysis; R;

    Abstract : Clustering of observations into groups arises as a fundamental challenge both in academia and industry. Many clustering algorithms exist, and the most widely used clustering algorithm, the K-means, notably suffers from sensitivity to initial allocation of cluster centers. READ MORE