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  • 1.
    Henriksson, William
    University of Skövde, School of Informatics.
    High dimensional data clustering; A comparative study on gene expressions: Experiment on clustering algorithms on RNA-sequence from tumors with evaluation on internal validation2019Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    In cancer research, class discovery is the first process for investigating a new dataset for which hidden groups there are by similar attributes. However datasets from gene expressions, RNA microarray or RNA-sequence, are high-dimensional. Which makes it hard to perform clusteranalysis and to get clusters that are well separated. Well separated clusters are wanted because that tells that objects are most likely not placed in wrong clusters. This report investigate in an experiment whether using K-Means and hierarchical are suitable for clustering gene expressions in RNA-sequence data from various tumors. Dimensionality reduction methods are also applied to see whether that helps create well-separated clusters. The results tell that well separated clusters are only achieved by using PCA as dimensionality reduction and K-Means on correlation. The main contribution of this paper is determining that using K-Means or hierarchical clustering on the full natural dimensionality of RNA-sequence data returns unwanted silhouette average width, under 0,4.

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  • 2.
    Henriksson, William
    University of Skövde, School of Informatics. williamhenriksson@hotmail.com.
    LOGGNING AV INTERAKTION MED DATAINSAMLINGSMETODER FÖR WEBBEVENTLOGGNINGSVERKTYG: Experiment om påverkan i svarstider vid loggning av interaktionsdata2018Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
    Abstract [sv]

    Denna studie undersöker en eventuell påverkan av webbeventloggningsverktyg förautomatiserade användbarhetstestning av användarnas interaktion. I ett experiment mätssvarstider då inspelad interaktion av testpersonerna återuppspelas på den webbapplikationsom testas av webbeventloggningsverktygen med olika datainsamlingsmetoder.Experimentet är uppbyggt av fyra grupper som består av 3 loggningsverktyg somimplementerades utefter de delmålen som sattes upp. Webbeventloggningsverktygensimplementation inspireras av studiens förstudie och i deras numrering loggas allt merinteraktion av användaren som leder till en ökande mängd loggning i bytes. Studiens resultatmötte hypotesen att svarstiden för webbapplikationen när en användare interagerar på sidanökade inte märkbart och det var inte heller en statistiskt signifikant skillnad när loggningenutfördes jämfört mot den nuvarande webbplatsen.

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