✦ LIBER ✦

Isolation enhanced principal component analysis

✍ Scribed by Janos Gertler; Weihua Li; Yunbing Huang; Thomas McAvoy

Publisher: American Institute of Chemical Engineers
Year: 1999
Tongue: English
Weight: 133 KB
Volume: 45
Category: Article
ISSN: 0001-1541
DOI: 10.1002/aic.690450213

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Bayesian principal component analysis

✍ Mohamed N. Nounou; Bhavik R. Bakshi; Prem K. Goel; Xiaotong Shen 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 379 KB

Maximum likelihood principal component a

Maximum likelihood principal component analysis

✍ Peter D. Wentzell; Darren T. Andrews; David C. Hamilton; Klaas Faber; Bruce R. K 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 334 KB

The theoretical principles and practical implementation of a new method for multivariate data analysis, maximum likelihood principal component analysis (MLPCA), are described. MLCPA is an analog to principal component analysis (PCA) that incorporates information about measurement errors to develop P

Dynamic contrast-enhanced MRI diagnostic

Dynamic contrast-enhanced MRI diagnostics in oncology via principal component analysis

✍ Mark-John Bruwer; John F. MacGregor; Michael D. Noseworthy 📂 Article 📅 2008 🏛 John Wiley and Sons 🌐 English ⚖ 395 KB 👁 1 views

Principal component analysis with bounda

Principal component analysis with boundary constraints

✍ Paolo Giordani; Henk A. L. Kiers 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 166 KB 👁 1 views

Principal components for allometric anal

Principal components for allometric analysis

✍ Roberts S. Corruccini 📂 Article 📅 1983 🏛 John Wiley and Sons 🌐 English ⚖ 247 KB

Some alternatives for conditional princi

Some alternatives for conditional principal component analysis

✍ Ramon Nonell; Santiago Thió-Henestrosa; Tomàs Aluja-Banet 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 119 KB 👁 1 views