Vector quantisation and its associated learning algorithms form an essential framework within modern machine learning, providing interpretable and computationally efficient methods for data ...

广义学习矢量量化（Generalized Learning Vector Quantization，GLVQ）是一种基于原型的分类算法，用于将输入数据分配到先前定义的类别中。GLVQ是LVQ（Learning Vector Quantization）的一种扩展形式，LVQ在特征空间中利用一组代表性原型来对输入数据进行分类。 GLVQ GLVQ是一种 ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following explicit ...

A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually providing probabilities for each class. Leaving out neural networks and deep ...