Generalized Expansion Dimension
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A Generalized Expansion Dimension is a framework created by Houle et al. (2012) for modeling the intrinsic dimensionality.
- Context:
- This model looks for the dimensionality that best explains the observed density of data around a reference point.
References
2015
- (Amsaleg et al., 2015) ⇒ Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, and Michael Nett. (2015). “Estimating Local Intrinsic Dimensionality.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783405
2012
- (Houle et al., 2012) ⇒ Michael E. Houle, Hideyuki Kashima, and Michael Nett.(2012) "Generalized expansion dimension.” In:Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference (IEEE, 2012.)