Package: kfda
Type: Package
Title: Kernel Fisher Discriminant Analysis
Version: 1.0.1
Date: 2026-09-07
Maintainer: Donghwan Kim <donhkim9714@korea.ac.kr>
Authors@R: person(given = "Donghwan",
                  family = "Kim",
                  role = c("aut", "cre"),
                  email = "donhkim9714@korea.ac.kr")
Description: Kernel Fisher Discriminant Analysis (KFDA) is performed
        using Kernel Principal Component Analysis (KPCA) and Fisher
        Discriminant Analysis (FDA). There are some similar packages.
        First, 'lfda' is a package that performs Local Fisher
        Discriminant Analysis (LFDA) and performs other functions. In
        particular, 'lfda' seems to be impossible to test because it
        needs the label information of the data in the function
        argument. Also, the 'ks' package has a limited dimension, which
        makes it difficult to analyze properly. This package is a
        simple and practical package for KFDA based on the paper of
        Yang, J., Jin, Z., Yang, J. Y., Zhang, D., and Frangi, A. F.
        (2004) <DOI:10.1016/j.patcog.2003.10.015>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/ainsuotain/kfda
Depends: R (>= 3.0.0), kernlab, MASS
NeedsCompilation: no
Packaged: 2026-10-11 12:50:08 UTC; root
Author: Donghwan Kim [aut, cre]
Repository: https://ainsuotain.r-universe.dev
Date/Publication: 2026-09-08 09:51:02 UTC
RemoteUrl: https://github.com/cran/kfda
RemoteRef: HEAD
RemoteSha: 6c0fc75af8ac7d90f08631ffc3b0b32f690167b2