As an example, visualize the geometry of the situation in R². For visualization, [0.5] we select x = Draw: axes, the vector x, draw the vector compute and draw the vector y.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Please draw the axes, the vector x, the vector [1 1}, compute and draw the vector y.

A common data pre-processing step in data science techniques like neural net-
work and principal component analysis is the removal of the mean (average)
of a vector a E R". Straightforward notation for this operation is y; = X; -
!, xi, where y E R" is the vector with a mean of zero, and c; is the ith
entry of the vector x.
%3D
i3D1
Transcribed Image Text:A common data pre-processing step in data science techniques like neural net- work and principal component analysis is the removal of the mean (average) of a vector a E R". Straightforward notation for this operation is y; = X; - !, xi, where y E R" is the vector with a mean of zero, and c; is the ith entry of the vector x. %3D i3D1
As an example, visualize the geometry of the situation in R². For visualization,
[0.5]
we select x =
1
Draw: axes, the vector x, draw the vector
compute and draw the vector
Y.
Transcribed Image Text:As an example, visualize the geometry of the situation in R². For visualization, [0.5] we select x = 1 Draw: axes, the vector x, draw the vector compute and draw the vector Y.
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