nonlinear dimensionality reduction

常見例句

The original nonlinear dimensionality reduction algorithms are non-supervised, which can't directly be applied in pattern recognition.
原始的非線性維數(shù)約減算法是無監(jiān)督的，不能直接用于模式識別。
The Locaally Linear Embedding(LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data.
局部線性嵌入（LLE）算法是有效的非線性降維方法，時間復(fù)雜度低并具有強的流形表達(dá)能力。
In order to value the quantities of the reconstruction of the nonlinear dimensionality reduction algorithms, this paper uses simulated data sets and the natural data sets.
為了客觀評價各種非線性維數(shù)約減算法的重構(gòu)質(zhì)量，本文采用仿真數(shù)據(jù)和真實數(shù)據(jù)分別用各種維數(shù)約減算法進(jìn)行重構(gòu)。