In this paper, a new feature selection algorithm based on feature stability and correlation is proposed to select the effective minimum subset of appropriate features. The efficiency of the proposed ...

Several state-of-the-art fuzzy clustering algorithms, including Fuzzy c-means clustering, fuzzy subspace clustering and maximum entropy clustering algorithms. Matlab code. Three examples in the iris ...

Atlas feature selection benchmarking This repository contains code for benchmarking the effect of feature selection on scRNA-seq atlas construction and use. For more information please refer to the ...

History of cryptography and cryptanalysis codes, ciphers, and their algorithms John F. Dooley Smithsonian Libraries and Archives Object Details author Dooley, John 1952- Contents ...

In this paper, we develop the notion of the difference of evidence lower bounds (DELBO), based on which an efficient score algorithm is presented to implement feature selection on latent variables of ...

Methods: Accordingly, this study introduces a hierarchical feature-selection scheme combining Elastic Net and Boruta–SHAP to eliminate redundant remote-sensing variables and evaluates six ...