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Redirected from 특징 추출
In Machine learning, Pattern recognition and in Image processing, feature extraction (특징 추출) starts from an initial set of measured data and builds derived values (features) intended to be informative and non-redundant, facilitating the subsequent learning and generalization steps, and in some cases leading to better human interpretations. (https://en.wikipedia.org/wiki/Feature_extraction)
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