Essays about: "agglomerativ klustring"
Showing result 1 - 5 of 8 essays containing the words agglomerativ klustring.
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1. SARS-CoV-2 Lineage Clustering : Using Unsupervised Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The methods of sequencing genetic information and the access to this information has proved to be very useful in the research and understanding of viruses. It can for example be used to develop vaccines, manage pandemics, and attempt to map the virus’ spread and development. READ MORE
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2. 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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3. 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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4. 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
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5. Multi-scale clustering in graphs using modularity
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
