Presentation - MIV
Presentation - MIV
Presentation - MIV
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collet@lsiit.u-strasbg.fr<br />
iAstro Workshop - Nice Observatory<br />
16/17 October 2003<br />
Dimensionality reduction<br />
Limits<br />
A reduction in the number of features may lead to a loss in the<br />
discrimination power and thereby lower the accuracy of the resulting<br />
recognition system.<br />
Dimensionality reduction<br />
* feature selection : selects best subset of the input feature set<br />
* feature extraction : creates new features based on<br />
transformation or combination of the original feature<br />
The main issue in dimensionality reduction is the choice of a criterion<br />
function.<br />
A commonly used criterion is the classification error of a feature subset.
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