Feature selection method based on hybrid data transformation and binary binomial cuckoo search
作者： Avinash Chandra Pandey , Dharmveer Singh Rajpoot , Mukesh Saraswat
DOI: 10.1007/S12652-019-01330-1
关键词: Principal component analysis 、 Stability (learning theory) 、 Set (abstract data type) 、 Feature selection 、 Simulated annealing 、 Computer science 、 Cuckoo search 、 Independent component analysis 、 Feature (computer vision) 、 Pattern recognition 、 Binary number 、 Metaheuristic 、 Artificial intelligence
摘要: Feature selection is one of the key components of data mining and machine learning domain that selects the best subset of features with respect to target data by removing …
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