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Briefly, Otsu's method segments an image by maximizing the separability of the two populations in a histogram.
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FDA provides an optimal lower dimensional representation, in terms of maximizing the separability among different populations representative of different operational states, by projecting normal and fault populations, and separating them to the limit in the reconstructed space[15 17].
FDA provides an optimal lower-dimensional representation in terms of maximizing the separability among different populations.
In the process of feature extraction, the time frequency representation (TFR) has been designed for maximizing the separability between classes representing different faults.
The transforms are usually based on LDA, which is a supervised transform projecting the DCT features to the linear subspace maximizing the separability of the C speech classes.
CSP attempts to strengthen the separability by maximizing the variance of the spatially filtered signal of one class while minimizing it for another class.
This is achieved by incorporating an algorithm called Standard Deviation Analysis of Structure Elements (SDASE) which maximizes the separability between the blocks.
The extracted features construct a descriptor of each block that maximizes the separability between the blocks.
DLDA is a variant of Fisher's linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) [ 29] which separate samples of distinct groups by maximizing their between-class separability while minimizing their within-class variability.
LDA is a supervised technique that attempts to maximize the linear separability between data points (features) belonging to different classes (targeted modulation schemes) [30].
LDA was used as a feature mapping method in order to transfer the original data into a new space where different classes can be discriminated linearly by finding a decision region between the given classes in the newly mapped space that best maximizes the class separability [ 50].
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