Semantic Scholar Open Access 2003 28675 sitasi

Principal Component Analysis

H. Shen

Lihat Sumber DOI

Abstrak

Principal component analysis is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. This paper provides a description of how to understand, use, and interpret principal component analysis. The paper focuses on the use of principal component analysis in typical chemometric areas but the results are generally applicable.

Topik & Kata Kunci

Computer Science Mathematics

Penulis (1)

H. Shen

Format Sitasi

APA MLA BibTeX

Shen, H. (2003). Principal Component Analysis. https://doi.org/10.1007/978-0-387-73003-5_479

Akses Cepat

Lihat di Sumber doi.org/10.1007/978-0-387-73003-5_479

Informasi Jurnal

Tahun Terbit: 2003
Bahasa: en
Total Sitasi: 28675×
Sumber Database: Semantic Scholar
DOI: 10.1007/978-0-387-73003-5_479
Akses: Open Access ✓