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Analysing electricity consumption data by fast search and find of density peaks
(2017)
The aim of this thesis is to compare a clustering method called Clustering by fast search and find of density peaks (CFSFDP) (Rodriguez et al. 2014) to two traditional clustering methods in analysis electricity consumption. ...
Market reaction comparison between socially responsible and conventional ETFs during the Covid-19 crisis : a clustering approach
(2022)
This thesis aims to investigate ESG and conventional investing during the COVID-19 crisis in the U.S. market area and use unsupervised learning, specifically, cluster analysis to examine the behavior of ESG ETFs and ...