Sökning: "Klusteranalys"

Visar resultat 1 - 5 av 115 uppsatser innehållade ordet Klusteranalys.

  1. 1. Illusion eller Verklighet? : En statistisk analys av relationen mellan e-förvaltning och demokrati

    Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Dan Kindstrand; [2020]
    Nyckelord :E-government; E-participation; Democracy; Pearson Correlation; TwoStep Cluster; Linear regression; E-förvaltning; E-deltagande; Pearson Korrelation; TwoStep Kluster; Linjär regression;

    Sammanfattning : The aim of this study is to examine the relationship between e-Government and Democracy. The first step in fulfilling this quest was to find indexes which appropriately quantify these very general terms. LÄS MER

  2. 2. A Cluster Analysis of Stocks to Define an Investment Strategy

    Kandidat-uppsats, KTH/Matematisk statistik; KTH/Matematisk statistik

    Författare :Sarah Bjärkby; Sofia Grägg; [2019]
    Nyckelord :;

    Sammanfattning : This thesis investigates the possibilities of creating an investment strategy by performing a cluster analysis on stock returns. This to provide a diversified portfolio, which has multiple advantages, for instance that the risk of the investment decreases. LÄS MER

  3. 3. Cluster analysis on sparse customer data on purchase of insurance products

    Master-uppsats, KTH/Matematisk statistik

    Författare :Michel Alexander Postigo Smura; [2019]
    Nyckelord :;

    Sammanfattning : This thesis work aims at performing a cluster analysis on customer data of insurance products. Three different clustering algorithms are investigated. These are K-means (center-based clustering), Two-Level clustering (SOM and Hierarchical clustering) and HDBSCAN (density-based clustering). LÄS MER

  4. 4. Temporally Stable Clusters of Movie Series : A Machine Learning Approach to Content Segmentation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Patrick Miller Ugalde; [2019]
    Nyckelord :;

    Sammanfattning : Clustering techniques have been shown to provide insight in various domains and applications. Adaptive evolutionary spectral clustering is a state-of-the-art method to obtain temporally stable clustering results from time-stamped data. LÄS MER

  5. 5. Customer segmentation of retail chain customers using cluster analysis

    Master-uppsats, KTH/Matematisk statistik

    Författare :Sebastian Bergström; [2019]
    Nyckelord :Cluster analysis; customer segmentation; tEIGEN; MCLUST; K-means; NMF; Silhouette; Davies-Bouldin; big spenders; statistics; applied mathematics; unsupervised learning; Klusteranalys; kundsegmentering; tEIGEN; MCLUST; K-means; NMF; Silhouette; Davies-Bouldin; storkonsumenter; statistik; tillämpad matematik;

    Sammanfattning : In this thesis, cluster analysis was applied to data comprising of customer spending habits at a retail chain in order to perform customer segmentation. The method used was a two-step cluster procedure in which the first step consisted of feature engineering, a square root transformation of the data in order to handle big spenders in the data set and finally principal component analysis in order to reduce the dimensionality of the data set. LÄS MER