A new feature selection method to improve the document clustering using particle swarm optimization algorithm

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Salp swarm algorithm: a comprehensive survey (2019, unknown): “Accordingly, there is a method can be used like sigma function to change solutions’ positions from ‘‘0’’ to ‘‘1’’ or vice versa [40].”
An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems (2018, methodology): “The PSO for FS has been also utilized in different fields like text clustering [32, 33], text FS [34], disease diagnosis [31, 35].”
Hybrid clustering analysis using improved krill herd algorithm (2018, methodology): “Several metaheuristic algorithms have been proposed to solve the text clustering problem and others such as genetic algorithm (GA) [13], harmony search (HS) [14], particle swarm optimization (PSO) [15], cuckoo search (CS) [16], ant colony optimization (ACO) [17], and artificial bee colony (ABC) [18]”