Sökning: "Simon Jorstedt"

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  1. 1. Initialization of the k-means algorithm : A comparison of three methods

    Kandidat-uppsats, Stockholms universitet/Matematiska institutionen

    Författare :Simon Jorstedt; [2023]
    Nyckelord :k-means algorithm; clustering algorithm; Unsupervised Machine Learning;

    Sammanfattning : k-means is a simple and flexible clustering algorithm that has remained in common use for 50+ years. In this thesis, we discuss the algorithm in general, its advantages, weaknesses and how its ability to locate clusters can be enhanced with a suitable initialization method. LÄS MER