An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer

Author:

Kurman Sangeeta,Kisan Sumitra

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference225 articles.

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2. Liu T, Liu S, Chen Z (2003) An evaluation on feature selection for text clustering. In: Proceedings of the 20th international conference on machine learning (ICML-2003), Washington, DC, pp 488–495

3. Bins J, Draper BA (2001) Feature selection from huge feature sets. In: Proceedings of the 8th international conference on computer vision (ICCV-01). IEEE Computer Society, pp 159–165

4. Muštra M, Grgić M, Delač K (2012) Breast density classification using multiple feature selection. Automatika 53:1289–1305

5. Dessì N, Pascariello E, Pes B (2013) A comparative analysis of biomarker selection techniques. Biomed Res Int 2013:387673. https://doi.org/10.1155/2013/387673

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