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- W2121373746 abstract "We propose an algorithm for estimating the intrinsic dimension of a data set derived by applying the maximum likelihood estimator and analyzing both k nearest neighbor and reverse k nearest neighbors. Which can overcome the limitations of shortcut problem and bias caused by abnormal sampling density distribution when using only k nearest neighbor. It produces good results on some simulated and real datasets." @default.
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- W2121373746 date "2011-07-01" @default.
- W2121373746 modified "2023-10-03" @default.
- W2121373746 title "Intrinsic dimension estimation based on maximum likelihood estimator and reverse k nearest neighbors" @default.
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- W2121373746 doi "https://doi.org/10.1109/fskd.2011.6019742" @default.
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