A Comparative Analysis of Swarm Intelligence Techniques for Feature Selection in Cancer Classification

Table 10

Comparison of classification accuracy with other methods for AML-ALL.

Reference (year)	Methodology	Maximum classification accuracy in percentage
Alonso-González et al. (2012) [18]	Combination of attribute selection and classification algorithm	100
Maji (2012) [19]	Mutual Information	100
Chandra and Gupta (2011) [13]	Effective range based gene selection	98.61
Chuang et al. (2011) [10]	Correlation-based feature selection (CFS) and Taguchi genetic algorithm (TGA)	100
Dagliyan et al. (2011) [11]	HBE (hyperbox enclosure) method	100
Martinez et al. (2010) [7]	Swarm intelligence feature selection algorithm	100
Liu et al. (2010) [9]	EGS (ensemble gene selection) method	100
Chopra et al. (2010) [8]	Based on gene doublets	100
Wang and Gotoh (2009) [6]	Rough sets	100
Vanichayobon et al. (2007) [5]	Gene selection step and clustering cancer data by using self-organizing map	100
Jirapech-Umpai and Sturat (2005) [4]	Evolutionary algorithm	98.24
This work	PSO	100
This work	Cuckoo search	100
This work	SFL	100
This work	SFLLF	100