Essays about: "compute clustering"

Showing result 6 - 10 of 15 essays containing the words compute clustering.

  1. 6. Cluster selection for Clustered Federated Learning using Min-wise Independent Permutations and Word Embeddings

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

    Author : Pulasthi Raveen Bandara Harasgama; [2022]
    Keywords : Federated learning; Distributed machine learning; Clustering; Word Embeddings; Federerad inlärning; Distribuerad maskininlärning; Klustring; Ordinbäddningar;

    Abstract : Federated learning is a widely established modern machine learning methodology where training is done directly on the client device with local client data and the local training results are shared to compute a global model. Federated learning emerged as a result of data ownership and the privacy concerns of traditional machine learning methodologies where data is collected and trained at a central location. READ MORE

  3. 7. Efficient graph embeddings with community detection

    University essay from Umeå universitet/Institutionen för fysik

    Author : Felix Djuphammar; [2021]
    Keywords : ;

    Abstract : Networks are useful when modeling interactions in real-world systems based on relational data. Since networks often contain thousands or millions of nodes and links, analyzing and exploring them requires powerful visualizations. READ MORE

  4. 8. Tick data clustering analysis establishing support and resistance levels of the EUR-USD exchange market

    University essay from Lunds universitet/Matematisk statistik

    Author : Karl Tengelin; [2020]
    Keywords : Tick data; Support-and resistance levels; Clustering methods; Gaussian mixture model; Kmeans; EUR-USD exchange rates; Clustering performance metrics; Market activity; Mathematics and Statistics;

    Abstract : Our aim is to use clustering algorithms in order to compute support and resistance levels within an intra-day trading setting. To achieve this we use a tick data set from the EUR-USD exchange market during 2019 as a measure of market activity. READ MORE

  5. 9. Multi-scale clustering in graphs using modularity

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

    Author : Bertrand Charpentier; [2019]
    Keywords : Hierarchical clustering; Multi-scale clustering; Graph; Modularity; Resolution; Dendrogram;

    Abstract : This thesis provides a new hierarchical clustering algorithm for graphs, named Paris, which can be interpreted through the modularity score and its resolution parameter. The algorithm is agglomerative and based on a simple distance between clusters induced by the probability of sampling node pairs. READ MORE

  6. 10. An Object-Oriented Data Analysis approach for text population

    University essay from KTH/Matematisk statistik

    Author : Joffrey Dumont-Le Brazidc; [2018]
    Keywords : ;

    Abstract : With more and more digital text-valued data available, the need to be able to cluster, classify and study them arises. We develop in this thesis statistical tools to perform null hypothesis testing and clustering or classification on text-valued data in the framework of Object-Oriented Data Analysis. READ MORE