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The setting is unsupervised detection of deviations in data. The initial research question is to explore the efficiency of a selected set of unsupervised deviation detection methods (of which at least one is a novel method). The project is software related. The student(s) must have experience with matlab, be skilled in mathematics and be able to work in an organized way. Deliverables: (a) A definition and collection of benchmark problems (b) A state-of-the-art summary of suitable methods (c) A set of results of selected methods on the benchmark problems (d) An analysis and conclusion from these results (e) A report The work is well suited for writing a short scientific paper in the end and submit it to a conference. The project is suitable for 1-2 persons with high work capacity and the ambition to show abilities for scientific or high-level development work. The field is huge so there is no problem to find enough individual work for 2 students. Example work packages: (a) Define the problem and define what aspects that should be tested / explored. (b) Literature search for state-of-the-art methods (c) Implementation of selected methods for the study (d) Run experiments (e) Analyze and write report
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