Sökning: "cluster validation"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden cluster validation.

  1. 1. Evaluating clustering techniques in financial time series

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Johan Millberg; [2023]
    Nyckelord :clustering; machine learning; financial time series; time series; unsupervised learning; cluster validation; cluster evaluation; klustring; klusteranalys; finansiella tidsserier; maskininlärning; klustervalidering; evalueringsteknik;

    Sammanfattning : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. LÄS MER

  3. 2. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset

    Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Författare :Emilie Ståhle; Emilie Haubrich; [2023]
    Nyckelord :Human Rights Violation; Clustering; K-Means; Latent Class Analysis; Transition Matrix; Business and Economics;

    Sammanfattning : 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. LÄS MER

  4. 3. Finding co-workers with similar competencies through data clustering

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Oskar Skoglund; [2022]
    Nyckelord :Data analytics; data clustering; k-modes; DBSCAN; ROCK;

    Sammanfattning : In this thesis, data clustering techniques are applied to a competence database from the company Combitech. The goal of the clustering is to connect co-workers with similar competencies and competence areas in order to enable more skill sharing. LÄS MER

  5. 4. Application of machine learning for the clustering of wheat transcription factor proteins into families and sub-families

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Haleemath Sameena Sameer; [2022]
    Nyckelord :Global food security; Machine learning; Transcription factor proteins; K Mean WRKY; Clustering; Salinity;

    Sammanfattning : Wheat plays an important role in ensuring the global food security. Salinity of soil and water poses a major threat to its production and it affects both growth and development of wheat in a negative way. Wheat plants uses certain molecular mechanisms to adapt themselves under the salt stress. LÄS MER

  7. 5. Modelling habitat suitability index for golden eagle

    Master-uppsats, Stockholms universitet/Institutionen för naturgeografi

    Författare :Maya Johansson; [2020]
    Nyckelord :Golden Eagle habitat model; habitat suitability index; HSI; habitat modelling using GIS;

    Sammanfattning : The aim in this study was to develop a model for the probability of finding active golden eagle nests during their breeding season. It was done by using environmental variables derived from expert models which were tested against empirical data. LÄS MER