✦ LIBER ✦

Consensus Principal Components

✍ Scribed by L. P. Lefkovitch

Publisher: John Wiley and Sons
Year: 1993
Tongue: English
Weight: 592 KB
Volume: 35
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.4710350506

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Nonlinear principal components

✍ Victor J. Yohai; Werner Ackermann; Cristina Haigh 📂 Article 📅 1985 🏛 Springer Netherlands 🌐 English ⚖ 794 KB

Discriminant principal components analys

Discriminant principal components analysis

✍ Peter W. Yendle; Halliday J. H. MacFie 📂 Article 📅 1989 🏛 John Wiley and Sons 🌐 English ⚖ 705 KB

Recursive principal components analysis

✍ Thomas Voegtlin 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 273 KB

A recurrent linear network can be trained with Oja's constrained Hebbian learning rule. As a result, the network learns to represent the temporal context associated to its input sequence. The operation performed by the network is a generalization of Principal Components Analysis (PCA) to time-series

Stability of principal components

✍ A. H. Al-Ibrahim; Noriah M. Al-Kandari 📂 Article 📅 2007 🏛 Springer 🌐 English ⚖ 193 KB

Which principal components to utilize fo

Which principal components to utilize for principal component regression

✍ Jon M. Sutter; John H. Kalivas; Patrick M. Lang 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 498 KB 👁 1 views

Principal component analysis

✍ Hervé Abdi; Lynne J. Williams 📂 Article 📅 2010 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 564 KB

## Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative dependent variables. Its goal is to extract the important information from the table, to represent it as a set of new or