Open AccessFour-Layer Feature Selection Method for Scientific Literature based on Optimized K-Medoids and Apriori Algorithms
Author(s) -
Hongchan Li and Ni Yao
Publication year - 2019
Language(s) - English
DOI - 10.23940/ijpe.19.04.p9.11411150
Subject(s) - feature selection , k medoids , apriori algorithm , a priori and a posteriori , computer science , data mining , feature (linguistics) , algorithm , selection (genetic algorithm) , pattern recognition (psychology) , artificial intelligence , cluster analysis , association rule learning , cure data clustering algorithm , philosophy , linguistics , correlation clustering , epistemology