We provide a rich collection of linear and nonlinear dimension reduction techniques.
Intrinsic dimension estimation methods for exploratory analysis are also provided.
For more details on dimensionality techniques, see the paper by
Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in
statistical approach, or Engel, Huttenberger, and Hamann (2012)
<doi:10.4230/OASIcs.VLUDS.2011.135> for a broader multi-disciplinary overview.
Rcpp (>= 0.12.10), graphics, stats, Rtsne, Rcsdp, Rdpack,
Rlinsolve, RSpectra, CVXR, Matrix, geigen

We provide 111 linear and nonlinear dimension reduction techniques.
Intrinsic dimension estimation methods for exploratory analysis are also provided.
For more details on dimensionality techniques, see the paper by
Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in
statistical approach, or Engel, Huttenberger, and Hamann (2012)
<doi:10.4230/OASIcs.VLUDS.2011.135> for a broader multi-disciplinary overview.
Rcpp (>= 0.12.10), graphics, stats, Rtsne, Rcsdp, Rdpack,
Rlinsolve, RSpectra, CVXR, Matrix, geigen, pracma, ADMM

Rcpp (>= 0.12.10), graphics, stats, Rtsne, Rcsdp, Rdpack,
RSpectra, CVXR, Matrix, ADMM

We provide linear and nonlinear dimension reduction techniques.
Intrinsic dimension estimation methods for exploratory analysis are also provided.
For more details on dimensionality techniques, see the paper by
Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in
statistical approach, or Engel, Huttenberger, and Hamann (2012)
<doi:10.4230/OASIcs.VLUDS.2011.135> for a broader multi-disciplinary overview.
Rcpp (>= 0.12.10), ADMM (>= 0.2.2), graphics, stats, Rtsne,
Rcsdp, Rdpack, RSpectra, CVXR (>= 0.95), Matrix

Rcpp (>= 0.12.10), ADMM (>= 0.2.2), graphics, stats, Rtsne,
Rcsdp, Rdpack, RSpectra, CVXR (>= 0.95), Matrix, utils, RcppDE

c(person("Changhee","Suh",role="aut",email="suh0730@yonsei.ac.kr"),person("Kisung", "You", role = c("aut", "cre"),email = "kyou@nd.edu",comment=c(ORCID="0000-0002-8584-459X")))
Changhee Suh [aut],
Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)