dimensionality reduction

基本解释

Feature selection and feature extraction are common methods for dimensionality reduction.
特征选择和特征抽取是维数约简常用的两种方法。
The original nonlinear dimensionality reduction algorithms are non-supervised, which can't directly be applied in pattern recognition.
原始的非线性维数约减算法是无监督的，不能直接用于模式识别。
"This problem of dimensionality reduction and data visualization is fundamental in many disciplines in natural and social sciences," says Venkatasubramanian.
维数降低及数据可视化的问题在自然和社会科学的许多学科中都是基本问题。