NEWS.md

In kyoustat/Rdimtools: Dimension Reduction and Estimation Methods

Rdimtools 1.1.2

• Fixed an error in do.lapeig() thanks to Frithjof Kruggel (UC Irvine).

Rdimtools 1.1.1

• Removed dependence on Rcsdp package.
• Fixed potential errors with some examples.

Rdimtools 1.1.0

• Removed arbitrary regularization in do.dne().
• Change of authorship.

Rdimtools 1.0.9

• Change of some estimation methods to return implicit variables.
• do.dppca() added : dual probabilistic principal component analysis.

Rdimtools 1.0.8

• Change of maintainer's contact.
• Some functions are converted to pure C++.

Rdimtools 1.0.7

• Fixed an error in do.olpp() thanks to Nicholas Spyrison.

Rdimtools 1.0.6

• Replaced nearest neighbor library.

Rdimtools 1.0.5

• Methods added; do.mmds(), do.phate().
• Bibliographic errors fixed.

Rdimtools 1.0.4

• Methods for feature selection do.wdfs(), do.uwdfs(), do.procrustes(), and do.mifs() are added.
• README now shows numbers of currently available functions for DR and IDE.

Rdimtools 1.0.3

• Fixed memory leaks in do.sne() and do.tsne().
• do.lsls() added as a supervised feature selection method.

Rdimtools 1.0.2

• README contains minimal examples for both dimension reduction and estimation.
• Porting to pure C++ implementations started, gaining computational efficiency.
• do.lmds function is fixed for its discrepancy in nested structure.

Rdimtools 1.0.1

• NEWS reformatted and package website is now available.
• Dependency on R package ADMM is removed.

Rdimtools 1.0.0

Major changes

• LDA solves trace ratio problem directly.
• Many of dependencies are removed.
• 133 dimension reduction methods available.
• 17 intrinsic dimension estimation methods available.

Bug fixes

• Error fixed in do.lscore function (thanks to Jordan Lin).

kyoustat/Rdimtools documentation built on Jan. 1, 2023, 1:25 a.m.