Essays about: "• Clustering Models thesis"
Showing result 1 - 5 of 137 essays containing the words • Clustering Models thesis.
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1. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. READ MORE
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2. The deductibles impact on the risk premium
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The aim of this master thesis is to derive methods that assesses the impact the deductiblehas on the risk premium of an insurance contract. The additive structure of a deductiblenecessitates approaches beyond treating it as a regular covariate in a generalized linearmodel for predicting the risk premium. READ MORE
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3. A Multi-Variate Regression Analysis on Telecommunication Sites in a Sub-Saharan Country
University essay from KTH/Matematisk statistikAbstract : The purpose of this bachelor thesis is to investigate how different variables impact voice and data traffic for a telecom operator that operates in an undisclosed Sub-Saharan African country. The data has been provided by said company. READ MORE
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4. Robust Statistical Jump Models with Feature Selection
University essay from Lunds universitet/Matematisk statistikAbstract : A large area in statistics and machine learning is cluster analysis. This field of research concerns the design of algorithms that allow computers to automatically categorize a set of observations into different groups in a reasonable way, without any prior information about which observations belongs to which group. 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