Neighborhood rough set reduction with fish swarm algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2393-6
Abstract: Feature reduction refers to the problem of deleting those input features that are less predictive of a given outcome; a problem encountered in many areas such as pattern recognition, machine learning and data mining. In… read more here.
Keywords: reduction; feature reduction; rough set; neighborhood rough ... See more keywords
Impact of class noise on performance of hyperspectral band selection based on neighborhood rough set theory
Sign Up to like & getrecommendations! Published in 2019 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2019.03.003
Abstract: Abstract Hyperspectral imaging has the ability for characteristic identification because of its rich physical and chemical information. To develop online or portable devices for industrial applications, informative spectral bands relevant to the specific objects are… read more here.
Keywords: neighborhood rough; class noise; performance; rough set ... See more keywords
A Novel Feature Selection Method with Neighborhood Rough Set and Improved Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3162074
Abstract: Neighborhood rough set is an excellent mathematical tool to carry out feature selection on both numerical and categorical dataset. However, conventional feature selection algorithms usually use greedy heuristic search strategies, which is easy to trap… read more here.
Keywords: neighborhood rough; rough set; feature selection;