Highly Correlated Linear Discriminant Analysis for Dimensionality Reduction and Classification in Healthcare Datasets
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5166-6_29
Reference24 articles.
1. Crawford B, Soto R, Olea C, Johnson F, Paredes F (2015) Binary bat algorithms for the set covering problem. In: 2015 10th Iberian conference on information systems and technologies (CISTI), June 2015, pp 1–4. https://doi.org/10.1109/CISTI.2015.7170537
2. Hariharan B, Prakash PNS, Anupama CG, Siva R, Kaliraj S, WB NR (2022) Dimensionality reduction based medical data classification using hybrid linear discriminant analysis. In: 2022 3rd International conference on electronics and sustainable communication systems (ICESC). https://doi.org/10.1109/icesc54411.2022.9885728(1)
3. Emmanuel BS (2021) Improved approach to feature dimension reduction for efficient diagnostic classification of breast cancer. In: 2021 1st International conference on multidisciplinary engineering and applied science (ICMEAS). https://doi.org/10.1109/icmeas52683.2021.9692388
4. Pamukçu E, Bozdogan H, Çalık S (2015) A novel hybrid dimension reduction technique for undersized high dimensional gene expression data sets using information complexity criterion for cancer classification. Comput Math Methods Med 2015:1–14. https://doi.org/10.1155/2015/370640
5. Ma’ruf FA, Adiwijaya, Wisesty UN (201) Analysis of the influence of minimum redundancy maximum relevance as dimensionality reduction method on cancer classification based on microarray data using Support Vector Machine classifier. J Phys Conf Ser 1192:012011. https://doi.org/10.1088/1742-6596/1192/1/012011
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