rda

rda: Shrunken Centroids Regularized Discriminant Analysis , Shrunken Centroids Regularized Discriminant Analysis for the classification purpose in high dimensional data. (Source: http://cran.r-project.org/web/packages)

Keywords for this software

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References in zbMATH (referenced in 51 articles , 1 standard article )

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  1. Ames, Brendan P.W.; Hong, Mingyi: Alternating direction method of multipliers for penalized zero-variance discriminant analysis (2016)
  2. Dong, Kai; Pang, Herbert; Tong, Tiejun; Genton, Marc G.: Shrinkage-based diagonal Hotelling’s tests for high-dimensional small sample size data (2016)
  3. Perthame, Émeline; Friguet, Chloé; Causeur, David: Stability of feature selection in classification issues for high-dimensional correlated data (2016)
  4. Xi, Maolong; Sun, Jun; Liu, Li; Fan, Fangyun; Wu, Xiaojun: Cancer feature selection and classification using a binary quantum-behaved particle swarm optimization and support vector machine (2016)
  5. Durrant, Robert J.; Kabán, Ata: Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions (2015)
  6. Yang, Aijun; Li, Yunxian; Tang, Niansheng; Lin, Jinguan: Bayesian variable selection in multinomial probit model for classifying high-dimensional data (2015)
  7. Afsari, Bahman; Braga-Neto, Ulisses M.; Geman, Donald: Rank discriminants for predicting phenotypes from RNA expression (2014)
  8. Pappu, Vijay; Pardalos, Panos M.: High-dimensional data classification (2014)
  9. Guarracino, Mario Rosario; Irpino, Antonio; Jasinevicius, Raimundas; Verde, Rosanna: Fuzzy regularized generalized eigenvalue classifier with a novel membership function (2013)
  10. Hardin, Johanna; Garcia, Stephan Ramon; Golan, David: A method for generating realistic correlation matrices (2013)
  11. Ching, Wai-Ki; Chu, Delin; Liao, Li-Zhi; Wang, Xiaoyan: Regularized orthogonal linear discriminant analysis (2012)
  12. Rozza, Alessandro; Lombardi, Gabriele; Casiraghi, Elena; Campadelli, Paola: Novel Fisher discriminant classifiers (2012)
  13. Chu, Delin; Goh, Siong Thye; Hung, Y.S.: Characterization of all solutions for undersampled uncorrelated linear discriminant analysis problems (2011)
  14. Sætrom, Jon; Omre, Henning: Ensemble Kalman filtering with shrinkage regression techniques (2011)
  15. Shao, Jun; Wang, Yazhen; Deng, Xinwei; Wang, Sijian: Sparse linear discriminant analysis by thresholding for high dimensional data (2011)
  16. Silva, A.Pedro Duarte: Two-group classification with high-dimensional correlated data: a factor model approach (2011)
  17. Verikas, A.; Gelzinis, A.; Bacauskiene, M.: Mining data with random forests: A survey and results of new tests (2011) ioport
  18. Wehrens, Ron: Chemometrics with R. Multivariate data analysis in the natural sciences and life sciences (2011)
  19. Witten, Daniela M.: Classification and clustering of sequencing data using a Poisson model (2011)
  20. Zhang, Qiong; Wang, Hansheng: On BIC’s selection consistency for discriminant analysis (2011)

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