Robust canonical correlation analysis algorithm based on generalized mean value
A technology of canonical correlation analysis and mean value, applied in computing, computer parts, instruments, etc., can solve problems such as non-robust high-dimensional samples for outliers
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[0067] In order to clarify the purpose, technical solutions and advantages of the present invention, the present invention will be further described in detail below in conjunction with specific embodiments and accompanying drawings.
[0068] refer to figure 1 , the specific implementation process of the present invention comprises the following steps:
[0069] (1) Input a set of sample sets of size N The parameter p of the generalized mean, the total number of internal iterations T 1 and T 2 , the total number of external iterations T, the dimension of the feature after dimensionality reduction d;
[0070] (2) First, the centralized sample set X=(x 1 ,x 2 ,...,x N ) and Y=(y 1 ,y 2 ,...,y N ):
[0071] Calculation sample set X=(x 1 ,x 2 ,...,x N ) and Y=(y 1 ,y 2 ,...,y N ) center value:
[0072] x ‾ = 1 N Σ i = ...
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