Feature Selection with Particle Swarm for Improved Classification on High-Dimensional Datasets
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3591-4_9
Reference24 articles.
1. Unler A, Murat A, Chinnam RB (2011) mr2PSO: a maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification. Inf Sci 181(20):4625–4641
2. Inbarani HH, Azar AT, Jothi G (2014) Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis. Comput Methods Progr Biomed 113(1):175–185
3. Banka H, Dara S (2015) A Hamming distance based binary particle swarm optimization (HDBPSO) algorithm for high dimensional feature selection, classification and validation. Pattern Recogn Lett 52:94–100
4. Yong Z, Dun-wei G, Wan-qiu Z (2016) Feature selection of unreliable data using an improved multi-objective PSO algorithm. Neurocomputing 171:1281–1290
5. Moradi P, Gholampour M (2016) A hybrid particle swarm optimization for feature subset selection by integrating a novel local search strategy. Appl Soft Comput 43:117–130
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