A unified algorithm for principal and minor components extraction
- 1 April 1998
- journal article
- Published by Elsevier in Neural Networks
- Vol. 11 (3) , 385-390
- https://doi.org/10.1016/s0893-6080(98)00004-5
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Natural Gradient Works Efficiently in LearningNeural Computation, 1998
- Global convergence of Oja's subspace algorithm for principal component extractionIEEE Transactions on Neural Networks, 1998
- Stability Analysis of Learning Algorithms for Blind Source SeparationNeural Networks, 1997
- Information geometryPublished by American Mathematical Society (AMS) ,1997
- Modified Oja's Algorithms For Principal Subspace and Minor Subspace extractionNeural Processing Letters, 1997
- Gradient systems in view of information geometryPhysica D: Nonlinear Phenomena, 1995
- Dynamical systems that sort lists, diagonalize matrices, and solve linear programming problemsLinear Algebra and its Applications, 1991
- Least squares matching problemsLinear Algebra and its Applications, 1989
- Differential-Geometrical Methods in StatisticsPublished by Springer Nature ,1985
- Neural theory of association and concept-formationBiological Cybernetics, 1977