Essays about: "agglomerative clustering"
Showing result 16 - 20 of 28 essays containing the words agglomerative clustering.
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16. 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
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17. Load Classification with Machine Learning : Classifying Loads in a Distribution Grid
University essay from Uppsala universitet/Institutionen för teknikvetenskaperAbstract : This thesis explores the use of machine learning as a load classifier in a distribution grid based on the daily consumption behaviour of roughly 1600 loads spread throughout the areas Bromma, Hässelby and Vällingby in Stockholm, Sweden. Two common unsupervised learning methods were used for this, K-means clustering and hierarchical agglomerative clustering (HAC), the performance of which was analysed with different input data sets and parameters. READ MORE
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18. Forecasting future delivery orders to support vehicle routing and selection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Courier companies receive delivery orders at different times in advance. Some orders are known long beforehand, some arise with a very short notice. Currently the order delegation, deciding which car is going to drive which order, is performed completely manually by a (TL) where the TL use their experience to guess upcoming orders. READ MORE
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19. Forecasting High Yield Corporate Bond Industry Excess Return
University essay from KTH/Matematisk statistikAbstract : In this thesis, we apply unsupervised and supervised statistical learning methods on the high-yield corporate bond market with the goal of predicting its future excess return. We analyse the excess return of industry based indices of high-yield corporate bonds belonging to the Chemical, Metals, Paper, Building Materials, Packaging, Telecom, and Electric Utility industry. READ MORE
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20. User preference prediction between ads-supported and subscribed users
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The goal of this master’s thesis was to create a model that predicts preference towards a specific exclusive feature in a subscribed service. It investigated unsupervised and semi-supervised learning to identify customer segments that prefer an specific exclusive feature. READ MORE
