Research Article
A Comparative Analysis of Swarm Intelligence Techniques for Feature Selection in Cancer Classification
Table 12
Comparison of classification accuracy with other methods for Lung Harvard2.
| Reference (year) | Methodology | Maximum classification accuracy in percentage |
| Alonso-González et al. (2012) [18] | Combination of attribute selection and classification algorithm | 99.63 | Chandra and Gupta (2011) [13] | Effective range based gene selection | 100 | Wang and Simon (2011) [12] | Univariate class discrimination with single gene | 99 | Chopra et al. (2010) [8] | Based on gene doublets | 100 | Wang and Gotoh (2009) [6] | Rough sets | 97.32 | Vanichayobon et al. (2007) [5] | Gene selection step and clustering cancer data by using self-organizing map | 100 | This work | PSO | 100 | This work | Cuckoo search | 100 | This work | SFL | 100 | This work | SFLLF | 100 |
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