(from Kwak slide - ml basics 였나? - p67)
Feature
– A set of variables believed to carry characterizing information about an object under consideration
• Feature vector
– A collection of $\displaystyle d$ features, ordered in some meaningful way into a d-dimensional column vector, that represents the signature of the object to be identified
• Feature space
– The d-dimensional space in which the feature vector lies
– A d-dimensional vector in a d-dimensional space constitutes a point in that space
ML에서의 뜻은 다음 참조.
wikiadmin ¶
page name via kornorms "피처신디케이트 feature syndicate"