Multi-scale fuzzy feature selection method applied to wood singularity identification

HIGHLIGHTS

  • who: Vincent Bombardier from the Université de Lorraine, CNRS, CRAN, France have published the research work: Multi-Scale Fuzzy Feature Selection Method applied to Wood Singularity Identification, in the Journal: (JOURNAL)
  • what: In many pattern_recognition problems, the study and the selection of features (or suitable parameters) is fundamental to focus on the most significant data. The authors propose to use operators based on the Choquet integral which are able to "Filter" methods select from the dataset a subset of features which are independent of the classification algorithm and then can be used with different classifiers . . .

     

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