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

Table 5

Comparison of classification accuracy with other methods for DLBCL Harvard.

Reference (year)	Methodology	Maximum classification accuracy in percentage
Huang et al. (2012) [17]	iSELF (improved semisupervised local Fisher) discriminant analysis	94.67
Alonso-González et al. (2012) [18]	Combination of attribute selection and classification algorithm	100
Dagliyan et al. (2011) [11]	HBE (hyperbox enclosure) method	96.1
Chuang et al. (2011) [10]	Correlation-based feature selection (CFS) and Taguchi genetic algorithm (TGA)	100
Chopra et al. (2010) [8]	Based on gene doublets	98.1
Martinez et al. (2010) [7]	Swarm intelligence feature selection algorithm	100
This work	PSO	100
This work	Cuckoo search	100
This work	SFL	96
This work	SFLLF	100