Essays about: "Graph clustering"

Showing result 21 - 25 of 45 essays containing the words Graph clustering.

  1. 21. Graph Learning as a Basis for Image Segmentation

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

    Author : Kim Lundbeck; Wille Eriksson; [2020]
    Keywords : Graph Signal Processing; Image segmentation; Graph Learning;

    Abstract : Graph signal processing is a field concerning theprocessing of graphs with data associated to their vertices, oftenin the purpose of modeling networks. One area of this fieldthat has been under research in recent years is the developmentof frameworks for learning graph topologies from such data. READ MORE

  2. 22. Unsupervised Extraction and Clustering of Key Phrases from Scientific Publications

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Xiajing Li; [2020]
    Keywords : ;

    Abstract : Mapping a research domain can be of great significance for understanding and structuring the state-of-art of a research area. Standard techniques for systematically reviewing scientific literature entail extensive selection and intensive reading of manuscripts, a laborious and time consuming process performed by human experts. READ MORE

  3. 23. Graph Based Machine Learning approaches and Clustering in a Customer Relationship Management Setting

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Johan Delissen; [2020]
    Keywords : Graph Neural Networks; Knowledge Graph; Clustering;

    Abstract : This master thesis investigates the utilisation of various graph based machine learning models for solving a customer segmentation problem, a task coupled to Customer Relationship Management, where the objective is to divide customers into different groups based on similar attributes. More specifically a customer segmentation problem is solved via an unsupervised machine learning technique named clustering, using the k-means clustering algorithm. READ MORE

  4. 24. A graph representation of event intervals for efficient clustering and classification

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

    Author : Zed Heeje Lee; [2020]
    Keywords : event intervals; bipartite graph; spectral embedding; clustering; classification; händelsesintervall; bipartitgraf; spektral inbäddning; klustering; klassificering;

    Abstract : Sequences of event intervals occur in several application domains, while their inherent complexity hinders scalable solutions to tasks such as clustering and classification. In this thesis, we propose a novel spectral embedding representation of event interval sequences that relies on bipartite graphs. READ MORE

  5. 25. Graph neural networks for spatial gene expression analysis of the developing human heart

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning; Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Xiao Yuan; [2020]
    Keywords : single-cell RNA sequencing; in situ sequencing; graph neural networks; deep learning; unsupervised learning;

    Abstract : Single-cell RNA sequencing and in situ sequencing were combined in a recent study of the developing human heart to explore the transcriptional landscape at three developmental stages. However, the method used in the study to create the spatial cellular maps has some limitations. READ MORE