Metrics and visualisation for crime analysis and genomics
Laros, J.F.J.
Citation
Laros, J. F. J. (2009, December 21). Metrics and visualisation for crime analysis and genomics. IPA Dissertation Series. Retrieved from
https://hdl.handle.net/1887/14533
Version: Corrected Publisher’s Version
License: Licence agreement concerning inclusion of doctoral thesis in the Institutional Repository of the University of Leiden
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Stellingen behorende bij het proefschrift
Metrics and Visualisation for
Crime Analysis and Genomics
Jeroen F. J. Laros
1. The push-only variant of the particle model combined with a closed surface will eliminate the need for scaling and should be investigated further. [this thesis, Chapter 2]
2. Temporal extrapolation using dimension reduction is only feasable if either the clustering is dynamic, or if a linear dimension reduction technique is used. [this thesis, Chapter 5]
3. Of all the closed surfaces, the torus is most suitable as an output surface of a dimension reduction technique. [this thesis, Chapter 3]
4. In the push and pull model, a better embedding can be obtained by adapting the push and pull forces to the input data. [this thesis, Chapter 2]
5. Non-metric visualisations should only be used if nothing else is available.
6. Data Mining is neither the only, nor the best solution for the extraction of information from an excessive amount of data.
7. Results from Data Mining should only be used by experts who understand the applied technique.
8. Randomised techniques are too frequently employed, even when exact solu- tions are at hand.
9. The complexity of biological systems would suggest that intelligent design is not an acceptable explanation, unless intelligent is to be interpreted as cumbersome.
10. The Dutch proverb “Schoenmaker, houd je bij je leest.” is highly applicable in interdisciplenary research areas.
11. In general, PhD students are useful for society because of their educative tasks, not so much for their thesis.
