Provides nine computational algorithms for dimensionality reduction via Principal Component Analysis (PCA), built using an object-oriented (S3) architecture. The package includes classical and modern methods: Singular Value Decomposition (SVD) based on Eckart and Young (1936) <doi:10.1007/BF02288367>, Power Iteration based on Hotelling (1933) <doi:10.1037/h0071325>, QR Algorithm based on Francis (1961) <doi:10.1093/comjnl/4.3.265>, Jacobi Algorithm based on Jacobi (1846) <doi:10.1515/crll.1846.30.51>, Arnoldi Iteration based on Arnoldi (1951) <doi:10.1090/qam/42792>, 'NIPALS' based on Wold (1975) <doi:10.1017/S0021900200047604>, Alternating Least Squares (ALS) based on Kolda and Bader (2009) <doi:10.1137/07070111X>, Probabilistic PCA (PPCA) with EM Algorithm based on Tipping and Bishop (1999) <doi:10.1111/1467-9868.00196>, and Generalized Hebbian Algorithm (GHA) based on Sanger (1989) <doi:10.1016/0893-6080(89)90044-0>.
| Version: | 1.0.0 |
| Imports: | stats |
| Published: | 2026-04-28 |
| DOI: | 10.32614/CRAN.package.apca |
| Author: | Angga Dwi Mulyanto [aut, cre] (Institut Teknologi Sepuluh Nopember, Universitas Islam Negeri Maulana Malik Ibrahim Malang), Bambang Widjanarko Otok [aut] (Institut Teknologi Sepuluh Nopember), Jerry Dwi Trijoyo Purnomo [aut] (Institut Teknologi Sepuluh Nopember) |
| Maintainer: | Angga Dwi Mulyanto <angga.dwi.m at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | apca results |
| Reference manual: | apca.html , apca.pdf |
| Package source: | apca_1.0.0.tar.gz |
| Windows binaries: | r-devel: apca_1.0.0.zip, r-release: apca_1.0.0.zip, r-oldrel: apca_1.0.0.zip |
| macOS binaries: | r-release (arm64): apca_1.0.0.tgz, r-oldrel (arm64): apca_1.0.0.tgz, r-release (x86_64): apca_1.0.0.tgz, r-oldrel (x86_64): apca_1.0.0.tgz |
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