Searched for: subject%3A%22clustering%22
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Roest, Jeroen (author)
Introduction: Potentials measured at the epicardial surface contain information regarding the conductive properties of the atrial tissue. The current lack of morphological categorization during atrial fibrillation (AF) provokes the usage of unsupervised learning methods to evaluate time series electrograms across the atrial surface. Analysis of...
master thesis 2021
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He, Yanbin (author)
Graphs can be models for many real-world systems, where nodes indicate the entities and edges indicate the pairwise connections in between. In various cases, it is important to detect informative subsets of nodes such that the nodes within the subsets are ’closer’ to each other. For example, in a cellular network, determining appropriate node...
master thesis 2021
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Fruytier, Marthe (author)
Industrial clusters are facing major challenges in transitioning away from their carbon-intensive activities in order to accelerate the energy transition away from fossil fuels. Therefore, the industrial clusters; the Port of Rotterdam, Chemelot, North-RhineWestphalia (NRW) and Transition System Operator (TSO) GasUnie are planning to develop a...
master thesis 2021
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Rosbergen, Mathijs (author)
Introduction: Gliomas are the most common primary malignant brain tumours with a very poor survival. Resistance to chemotherapy and radiotherapy often occurs in these tumours due to hypoxia, which can be caused by different oxygenation parameters. Multiple magnetic resonance imaging (MRI) techniques are able to assess these oxygenation...
master thesis 2021
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Browarska, Maria (author)
In the past few years, the frequency of onset natural disaster has been rising, causing significant damage to communities and infrastructure around the world. When it happens, airports in the region affected have to rapidly adjust and evolve from serving regular passengers to becoming a humanitarian hub, that handles a massive surge in both...
master thesis 2021
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Stella Mulia, Stella (author)
The absence of medicines to cure COVID-19 calls for preventive strategies, including mask-wearing. Despite its protection against exposure to coronavirus, not everyone chooses to wear a mask. Some studies addressed mask-wearing behaviour from the standpoint of behavioural economics, one being the effect of herding behaviour. This occurs when...
master thesis 2021
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Marchal, Maxim (author)
Clustering is an important unsupervised learning task, with many applications in machine learning, computer vision, formal program verification and finance. Heuristic approaches such as local search are an excellent strategy for estimating the optimal solution, but they run the danger of getting stuck in local optima. Furthermore, it is non...
master thesis 2021
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Cao, Qingyuan (author)
This project is dedicated to implementing an unsupervised learning clustering method system for processing big data applied in Intel SGX. Intel SGX is a technology developed to meet the needs of the trusted computing industry similarly to ARM TrustZone, but this time for desktop and server platforms. It is a set of safety-related instruction...
master thesis 2021
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Grimm, Julius (author)
In the summer of 2020, ETH researchers installed a 9 km long fiber-optic cable on the Rhonegletscher (Switzerland), covering the whole glacier extent from accumulation to ablation zone.<br/>The fiber was then interrogated with a DAS system, turning it into a distributed seismic antenna. The DAS system recorded continuously for one month on more...
master thesis 2021
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Sharma, Shipra (author)
We are living in a world full of data. Data capture the characteristics of any entity around us, like living species, properties of scientific experimentation, etc. Moreover, data provides a basis for further analysis, reasoning, or decision-making. One of the most common applications of data analysis is to group data into a set of clusters to...
master thesis 2021
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Wolleswinkel, Willem (author)
How well spent is public money concerning sustainability goals? How effective and efficient are these policies? Even though it is widely acknowledged that actions against climate change are urgently needed in the near future, policy makers little insight in how potential policies can be designed most effectively. To evaluate the impacts of...
master thesis 2021
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Desideri Perea, Michela (author)
The Dutch energy-intensive industry relies heavily on fossil-fuelled energy sources for production processes, being responsible for one third of CO2 emissions in the Netherlands. The road to CO2 neutrality by 2050 requires a massive transformation of the industrial sector: sustainable supply and (re-)use of industrial heat, CO2 capture and...
master thesis 2021
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Şavli, Yasemin (author)
The graph Laplacian is a tool which is commonly used in different applications, amongst which spectral clustering. This report contains a research in different def- initions for the graph Laplacian applied on directed graphs, since it is rarely used in applications neither occurs often in literature. Two definitions are discussed into more...
bachelor thesis 2021
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Funatake, Shotaro (author)
Offshore wind energy is one of the emerging renewable technologies toward a zero-carbon emission society. Historically, offshore wind farms have been developed in the North Sea, but nowadays wind farms are expanded to other regions such as North America and Asia, which are seismic prone.<br/>In the design of Rotor-Nacelle-Assembly (RNA) and...
master thesis 2021
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Nguyen, Buu-Van (author)
The single-step single nucleotide polymorphism best linear unbiased prediction (ssSNPBLUP) model can potentially be used in animal breeding for genetic evaluations. It has been reported that this model has convergence issues when the Preconditioned Conjugate Gradient (PCG) method is applied. This is due to the linear system being ill-conditioned...
master thesis 2021
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Brandirali, Tommaso (author)
Large software systems today require increasingly complex models of their execution to aid the analysis of their behavior. Such execution models are impractical to compile by hand, and current approaches to their automated generation are either not generalizable or not scalable enough. This paper addresses this problem with a new approach based...
bachelor thesis 2021
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Rhebergen, Damiaan (author)
The Cluster Editing problem asks to transform a graph into a union of disjoint cliques in the minimum number of edge additions and deletions. The Cluster Deletion problem has the same goal, but allows edge deletions only. Recently, a connection between Cluster Editing on diamond-free graphs and Cluster Deletion was established. In this paper we...
bachelor thesis 2021
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Hagspiel, Johannes (author)
MalPaCa is a novel, unsupervised clustering algorithm, which creates based on the network flow of a software a behavioral profile representing its actual capabilities. One of the key variables affecting is performance and usability is the sequence length or how many packets it analyzes in order to group a connection to a cluster. This article...
bachelor thesis 2021
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te Wierik, Ruben (author)
Real-time sequence clustering is the problem of clustering an infinite stream of sequences in real time with limited memory. A variant of the k-medoids algorithm called <i>SeqClu </i>is the suggested approach, representing a cluster with <i>p </i>most representative sequences of the cluster, called prototypes, to solve the problem of maintaining...
bachelor thesis 2021
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Zoumis, Angelos (author)
Cluster editing attempts to find the minimum number of edge additions and removals on an undirected graph, that will transform the graph to one consisting of only disconnected cliques. In this paper, we propose three heuristic approaches to this problem, based on algorithms used to solve different clustering problems. The algorithms were based...
bachelor thesis 2021
Searched for: subject%3A%22clustering%22
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