支持向量机的分类和回归算法,可用于模式识别和预测-Support vector machine classification and regression algorithms can be used for pattern recognition and prediction

In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression.[1] In both cases, the input consists of the k closest training examples in the feature space. farzanh

Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of