Coupled Helmholtz machine for PCA
SCIE
SCOPUS
- Title
- Coupled Helmholtz machine for PCA
- Authors
- Choi, S
- Date Issued
- 2006-08-03
- Publisher
- INSTITUTION ENGINEERING TECHNOLOGY-IE
- Abstract
- A coupled Helmholtz machine for principal component analysis (PCA), where sub-machines are related through sharing some latent variables and associated weights, is presented. A wake-sleep PCA algorithm for training the coupled Helmholtz machine is then presented, showing that the algorithm iteratively determines principal eigenvectors of a data covariance matrix without any rotational ambiguity, in contrast to some existing methods that perform factor analysis or principal subspace analysis. The coupled Helmholtz machine provides a unified view of principal component analysis, including various existing algorithms as its special cases. The validity of the wake-sleep PCA algorithm is confirmed by numerical experiments.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/23836
- DOI
- 10.1049/EL:20060932
- ISSN
- 0013-5194
- Article Type
- Article
- Citation
- ELECTRONICS LETTERS, vol. 42, no. 16, page. 936 - 937, 2006-08-03
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.