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Titel:

Measuring non-Gaussianity by phi-transformed and fuzzy histograms

Autor(en):
Plant, C. C.; Mai Thai, S.; Shao, J.; Theis, F. J.; Meyer-Bäse, A.; Böhm, C.
Abstract:
Independent component analysis (ICA) is an essential building block for data analysis in many applications. Selecting the truly meaningful components from the result of an ICA algorithm, or comparing the results of different algorithms, however, is nontrivial problems. We introduce a very general technique for evaluating ICA results rooted in information-theoretic model selection. The basic idea is to exploit the natural link between non-Gaussianity and data compression: the better the data tran...     »
Zeitschriftentitel:
Advances in Artificial Neural Systems
Jahr:
2012
Band / Volume:
2012
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