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

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 94 articles , 1 standard article )

Showing results 1 to 20 of 94.
Sorted by year (citations)

1 2 3 4 5 next

  1. Mojiri, Arezou; Khalili, Abbas; Hamadani, Ali Zeinal: New hard-thresholding rules based on data splitting in high-dimensional imbalanced classification (2022)
  2. Park, Hoyoung; Baek, Seungchul; Park, Junyong: High-dimensional linear discriminant analysis using nonparametric methods (2022)
  3. Wu, Ruiyang; Hao, Ning: Quadratic discriminant analysis by projection (2022)
  4. Ahn, Jeongyoun; Chung, Hee Cheol; Jeon, Yongho: Trace ratio optimization for high-dimensional multi-class discrimination (2021)
  5. Chang, Woonyoung; Ahn, Jeongyoun; Jung, Sungkyu: Double data piling leads to perfect classification (2021)
  6. van de Wiel, Mark A.; van Nee, Mirrelijn M.; Rauschenberger, Armin: Fast cross-validation for multi-penalty high-dimensional ridge regression (2021)
  7. Vishwakarma, Gajendra K.; Thomas, Abin; Bhattacharjee, Atanu: A weight function method for selection of proteins to predict an outcome using protein expression data (2021)
  8. Anderlucci, Laura; Viroli, Cinzia: Mixtures of Dirichlet-multinomial distributions for supervised and unsupervised classification of short text data (2020)
  9. Ji, Zhi; Wei, Yang; Li, Zhouping: Sure estimates for high dimensional classification (2020)
  10. Lai, Yuanhao; McLeod, Ian: Ensemble quantile classifier (2020)
  11. Luo, Shan; Chen, Zehua: A procedure of linear discrimination analysis with detected sparsity structure for high-dimensional multi-class classification (2020)
  12. Puchkin, Nikita; Spokoiny, Vladimir: An adaptive multiclass nearest neighbor classifier (2020)
  13. Romanes, Sarah E.; Ormerod, John T.; Yang, Jean Y. H.: Diagonal discriminant analysis with feature selection for high-dimensional data (2020)
  14. Samuel Makinde, Olusola: On rank distribution classifiers for high-dimensional data (2020)
  15. Yu, Weichang; Azizi, Lamiae; Ormerod, John T.: Variational nonparametric discriminant analysis (2020)
  16. Yu, Weichang; Ormerod, John T.; Stewart, Michael: Variational discriminant analysis with variable selection (2020)
  17. Ahn, Jeongyoun; Lee, Myung Hee; Lee, Jung Ae: Distance-based outlier detection for high dimension, low sample size data (2019)
  18. Chen, Li-Pang; Yi, Grace Y.; Zhang, Qihuang; He, Wenqing: Multiclass analysis and prediction with network structured covariates (2019)
  19. Gaynanova, Irina; Wang, Tianying: Sparse quadratic classification rules via linear dimension reduction (2019)
  20. Huang, Na; Fryzlewicz, Piotr: NOVELIST estimator of large correlation and covariance matrices and their inverses (2019)

1 2 3 4 5 next