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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. ...
Image clustering for unsupervised analysis of plankton data
(2020)
Advancements in automated imaging has made it possible to enhance the data both in terms of quantity and quality. This has prompted the development of plankton imaging systems for acquiring the species level information ...
Plankton image clustering using similarity metric learning
(2022)
Technological advancement has evolved the imaging equipment used in plankton imaging. Nowadays it is possible to take images more efficiently. Due to the increased amount of images the processing time is longer. The ...
Clustering and prediction with a Gaussian process mixture model
(2021)
Gaussian processes provide a powerful Bayesian approach to many machine learning tasks. Unfortunately, their application has been limited by the cubic computational complexity of inference. Mixtures of Gaussian processes ...