Essays about: "Clustering algorithm"
Showing result 1 - 5 of 276 essays containing the words Clustering algorithm.
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1. Log Frequency Analysis for Anomaly Detection in Cloud Environments
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. READ MORE
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2. Regulatory Driven Clustering of Single-Cell Data; Clustering of single-cell RNA sequencing from glioblastoma with a novel mathematical method
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Cancer is a leading cause of death worldwide. Single-cell RNA sequencing has arisen as an important method to explore the gene expression of biological cells, including cancer cells. In this study, we deployed a computational algorithm known as ScRegClust to dissect single-cell RNA-sequencing (scRNA-seq) data from brain tumors. READ MORE
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3. Classifying Previous Covid-19 Infection : Advanced Logistic Regression Approach
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The study aimed to developed a logistic model based on antibody proteins, vaccinations and demographic factors that predicts previous infection in Covid-19. The data set comprised of 2750 individuals from eldercare homes in Sweden, with four test dates executed between October of 2021 and August of 2022. READ MORE
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4. Fixation and Machine Learning A new method for measuring fixation in internet users using machine learning and natural language processing
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Fixation — the state of mind where an individual is intensely fixated on one individual, activity or idea — can be an early warning sign of an individual that will later go on to commit violent acts. This paper details the development of a method that measures fixation from texts written on internet forums, a method that could (when expanded) be a part of threat assessment and prevention of violence. READ MORE
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5. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE
