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Convergence and acceleration properties for the vector ε-algorithm

✍ Scribed by Ana C. Matos


Publisher
Springer US
Year
1992
Tongue
English
Weight
242 KB
Volume
3
Category
Article
ISSN
1017-1398

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We introduce and discuss new accelerated algorithms for linear discriminant analysis (LDA) in unimodal multiclass Gaussian data. These algorithms use a variable step size, optimally computed in each iteration using (i) the steepest descent, (ii) conjugate direction, and (iii) Newton-Raphson methods