In pattern recognition a feature space is an abstract space where each pattern sample is represented as a point in n-dimensional space. Its dimension is determined by the number of features used to describe the patterns. Similar samples are grouped together, which allows the use of density estimation for finding patterns.
The concept is a most used one in classification techniques like k nearest neighbors or support vector machines.
Famous quotes containing the words feature and/or space:
“With men he can be rational and unaffected, but when he has ladies to please, every feature works.”
—Jane Austen (17751817)
“When my body leaves me
Im lonesome for it.
but body
goes away to I dont know where
and its lonesome to drift
above the space it
fills when its here.”
—Denise Levertov (b. 1923)
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