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ICPR
2008
IEEE

Numerical analysis of Mahalanobis metric in vector space

11 years 6 months ago
Numerical analysis of Mahalanobis metric in vector space
The Mahalanobis metric was proposed by extending the Mahalanobis distance to provide a probabilistic distance for a non-normal distribution. The Mahalanobis metric equation is a nonlinear second order differential equation derived from the equation of geometrically local isotropic independence, which is proposed to define normal distributions in a manifold. In this paper we provide experimental results of calculating the Mahalanobis metric by the Newton-Raphson method. We add error to the original probability density function and calculate the Mahalanobis metric to investigate the effect of the error in a probability density function to the solution.
Joken Son, Naoya Inoue, Yukihiko Yamashita
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Joken Son, Naoya Inoue, Yukihiko Yamashita
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