In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx

LinearClassifier,线性分类器进行分类，通过制作一个基于特征的线性组合的价值分类决策。对象的特征也被称为特征值，通常是一个向量提出的机器称为一个特征向量。-LinearClassifier, linear classifier for classification, through the production of a feature-based value of a linear combination of classification decisions. Characte