Essays about: "Hierarkisk klustring"
Showing result 6 - 10 of 21 essays containing the words Hierarkisk klustring.
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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)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
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7. Hierarchical Clustering in Risk-Based Portfolio Construction
University essay from KTH/Matematisk statistikAbstract : Following the global financial crisis, both risk-based and heuristic portfolio construction methods have received much attention from both academics and practitioners since these methods do not rely on the estimation of expected returns and as such are assumed to be more stable than Markowitz's traditional mean-variance portfolio. In 2016, Lopéz de Prado presented the Hierarchical Risk Parity (HRP), a new approach to portfolio construction which combines hierarchical clustering of assets with a heuristic risk-based allocation strategy in order to increase stability and improve out-of-sample performance. READ MORE
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8. Designing an Interactive tool for Cluster Analysis of Clickstream Data
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : The purpose of this study was to develop an interactive tool that enables identification of different types of users of an application based on clickstream data. A complex hierarchical clustering algorithm tool called Recursive Hierarchical Clustering (RHC) was used. READ MORE
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9. Automatic SLAMS detection and magnetospheric classification in MMS data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Short Large-Amplitude Magnetic Structures (SLAMS) have been observedby spacecraft near Earth’s quasi-parallel bow shock. They arecharacterized by a short and sudden increase of the magnetic field,usually by a factor of 2 or more. READ MORE
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10. Unsupervised machine learning to detect patient subgroups in electronic health records
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The use of Electronic Health Records (EHR) for reporting patient data has been widely adopted by healthcare providers. This data can encompass many forms of medical information such as disease symptoms, results from laboratory tests, ICD-10 classes and other information from patients. READ MORE
