Semantic Scholar Open Access 2004 1983 sitasi

kernlab - An S4 Package for Kernel Methods in R

Alexandros Karatzoglou A. Smola K. Hornik A. Zeileis

Lihat Sumber DOI

Abstrak

kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 ob ject model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels), implementations of support vector machines and the relevance vector machine, Gaussian processes, a ranking algorithm, kernel PCA, kernel CCA, and a spectral clustering algorithm. Moreover it provides a general purpose quadratic programming solver, and an incomplete Cholesky decomposition method.

Topik & Kata Kunci

Computer Science

Penulis (4)

Alexandros Karatzoglou

A. Smola

K. Hornik

A. Zeileis

Format Sitasi

APA MLA BibTeX

Karatzoglou, A., Smola, A., Hornik, K., Zeileis, A. (2004). kernlab - An S4 Package for Kernel Methods in R. https://doi.org/10.18637/JSS.V011.I09

Akses Cepat

Lihat di Sumber doi.org/10.18637/JSS.V011.I09

Informasi Jurnal

Tahun Terbit: 2004
Bahasa: en
Total Sitasi: 1983×
Sumber Database: Semantic Scholar
DOI: 10.18637/JSS.V011.I09
Akses: Open Access ✓