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Otsu, N. A threshold selection method from gray-level histograms.
In this paper, we regard the feature selection as a clustering process with data decomposition technique and propose a novel feature selection method based on the non-negation matrix factorization (NMF).
We propose a PDOF selection method for a damped system.
They propose the Least Absolute Shrinkage and Selection Operator (LASSO) [ 11] as a variable selection method to identify the neighborhood of each variable, thus the non-zero elements.
Moreover, a new efficient feature selection method namely Orthogonal Forward Selection by incorporating Gram Schmidt procedure and forward selection is applied for selection of the best subset features.
Otsu, N. Smith et al. - 1979 - A Tlreshold Selection Method from Gray-Level Histograms.
A frequency-based gene selection method to identify robust biomarkers for radiation dose prediction.
A stepwise selection method was used.
A forward selection method was used.
Incremental Feature Selection (IFS), an effective feature selection method based on the mRMR method.
We used an "enter" variable selection method.
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