Essays about: "Graph clustering"

Showing result 6 - 10 of 45 essays containing the words Graph clustering.

  1. 6. Impact of the autoencoder-based FINTA tractogram filtering method on brain networks in subjects with Mild Cognitive Impairment

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Teodor Pstrusiński; [2023]
    Keywords : Tractography; Autoencoder; diffusion MRI; Filtering; Graph; Connectome; Traktografi; Autoencoder; diffusions MRT; Filtrering; Graf; Konnektom;

    Abstract : Diffusion Magnetic Resonance Imaging (dMRI) is a method for measuring molecular diffusion in biological tissue microstructure. This information can be used to predict the location and orientation of white matter fibers in the brain, a process known as tractography. READ MORE

  3. 7. Czekanowski’s Clustering : Development of Visualization Possibilities of the RMaCzek Package

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Ying Luo; [2022]
    Keywords : Cluster Analysis; Graph Visualization; Czekanowski’s Diagram; Seriation Methods; Changing Points Detection;

    Abstract : As one of the most essential data mining tasks, clustering analysis has been widely discussed and employed since its invention. Czekanowski’s diagram, which has been around for over a century as a visualization tool for exploring cluster distributions, is being improved continually. READ MORE

  4. 8. Community Detection in Directed Graphs for Cell-to-Sector Mapping Using Handover Statistics in Mobile Communication Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : David Rommedahl; [2022]
    Keywords : Community detection; Communications networks; Handover; Sectors; Directed graphs; Binary classification; Graph clustering; Gemenskapsdetektion; Kommunikationsnätverk; Handover; Sektorer; Riktade grafer; Binär klassification; Grafklustring;

    Abstract : Many use cases in mobile communication networks are dependent on knowledge of which cells serve the same sector. These use cases include network planning, optimization and troubleshooting. Current methods of obtaining knowledge regarding this cell-to-sector mapping are based on naming conventions of cells. READ MORE

  5. 9. Discover patterns within train log data using unsupervised learning and network analysis

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Zehua Guo; [2022]
    Keywords : Log analysis; Natural language processing; Unsupervised learning; Clustering; Network analysis; Logganalys; Bearbetning av naturligt språk; Oövervakat lärande; Clustering; Nätverksanalys;

    Abstract : With the development of information technology in recent years, log analysis has gradually become a hot research topic. However, manual log analysis requires specialized knowledge and is a time-consuming task. Therefore, more and more researchers are searching for ways to automate log analysis. READ MORE

  6. 10. Properties of Discrete Laplacians With Application on Brain Networks

    University essay from KTH/Matematisk statistik

    Author : David Thinsz; [2022]
    Keywords : Graph Laplacian; Combinatorial Laplacian; Persistent Laplacian; Topological data analysis; Spectral theory; Homology; Clustering.; Graf-Laplacian; Kombinatorisk Laplacian; Beständig Laplacian; Topologisk dataanalys; Spektralteori; Homologi; Klustring.;

    Abstract : This thesis investigates three discrete Laplace operators: the graph Laplacian, combinatorial Laplacian, and the more recently introduced persistent Laplacian. We discuss how these operators relate to each other and study their spectral properties. The graph Laplacian is a well-studied operator that plays a central role in spectral graph theory. READ MORE