非线性判别英文解释翻译、非线性判别的近义词、反义词、例句
英语翻译：
【计】 nonlinear discriminant
分词翻译：
非的英语翻译：
blame; evildoing; have to; non-; not; wrong
【计】 negate; NOT; not that
【医】 non-
线的英语翻译：
clue; line; string; stringy; thread; tie; verge; wire
【医】 line; line Of occlusion; linea; lineae; lineae poplitea; mito-; nemato-
soleal line; strand; thread
【经】 line
判别的英语翻译：
differentiate; distinguish
网络扩展解释
非线性判别
非线性判别的中文拼音为 fēi xiàn xìng pàn bié。非线性判别（Nonlinear Discriminant Analysis）是一种基于核函数的非线性分类方法，它可以将高维数据映射到低维空间中，以便进行分类。
英语解释翻译
The English translation of 非线性判别 is Nonlinear Discriminant Analysis. It is a kernel-based nonlinear classification method that maps high-dimensional data into a low-dimensional space for classification.
英文读音
The English pronunciation of Nonlinear Discriminant Analysis is /nɑnˈlɪniər dɪsˈkrɪmɪnənt əˈnæləsɪs/.
英文用法
Nonlinear Discriminant Analysis is a machine learning method used for classification problems where the data is not linearly separable. It aims to find a lower-dimensional space that best separates the class labels of the data. It is commonly used in pattern recognition, face recognition, and image classification.
英文例句
Example 1: Nonlinear Discriminant Analysis was used to classify images of different vehicle models based on their silhouette features.（使用非线性判别方法根据车辆模型的轮廓特征对图像进行分类。）
Example 2: The performance of Nonlinear Discriminant Analysis was compared to that of Support Vector Machines on a handwritten digit recognition task.（比较了非线性判别和支持向量机在手写数字识别任务上的性能。）
英文近义词
Similar terms to Nonlinear Discriminant Analysis include Kernel Discriminant Analysis, Kernel Principal Component Analysis, and Manifold Learning.
近义词包括核判别分析、核主成分分析和流形学习。
英文反义词
The antonym of Nonlinear Discriminant Analysis is Linear Discriminant Analysis, a linear classification method that seeks to separate classes with a linear decision boundary.
非线性判别的反义词是线性判别分析，它是一种线性分类方法，旨在通过线性决策边界将不同类别分离。
英文单词常用度
The term Nonlinear Discriminant Analysis is not as commonly used as some other machine learning methods such as Support Vector Machines or Neural Networks, but it is still an important method in the field of pattern recognition and image classification.
与支持向量机或神经网络等其他机器学习方法相比，非线性判别分析这个术语使用并不那么普遍，但它仍然是模式识别和图像分类领域的重要方法。