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Concept
Dimensionality Expansion
Dimensionality expansion
involves increasing the
number of features
in a dataset, often to transform
complex data
into a more
easily separable form
for
machine learning algorithms
. This technique can improve
model performance
by providing a
richer representation of data
, although it may also introduce challenges such as overfitting and increased
computational complexity
.
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