Jun 17, 2013 � Abstract: Many existing engineering works model the statistical characteristics of the entities under study as normal distributions.
Abstract—Many existing engineering works model the sta- tistical characteristics of the entities under study as normal distributions.
To this end, firstly we derive the condition for region optimality of general continuous multidimensional distributions, and then we apply it to the widespread�...
Sep 1, 2013 � For multivariate normal distributions, the Mahalanobis distance provides the right dimensionless quantity (fully char- acterizing the�...
To this end, firstly we derive the condition for region optimality of general continuous multidimensional distributions, and then we apply it to the widespread�...
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On the Mahalanobis Distance Classification Criterion for Multidimensional Normal Distributions by Guillermo Gallego, Carlos Cuevas, Raul Mohedano,
In a normal distribution, the region where the Mahalanobis distance is less than one (i.e. the region inside the ellipsoid at distance one) is exactly the�...
The Mahalanobis distance is the distance to the centre of a class taking correlation into account and is the same for all points on the same probability�...
This thesis investigates on the properties of several forms of MDs under differ- ent circumstances. For high dimensional data sets, the classic MD doesn't�...
Mahalanobis distance is the multivariate generalization of finding how many standard deviations away a point is from the mean of the multivariate distribution.