Graph Embedding for Pattern Analysis 在线电子书 图书标签: Machine_Learning Clustering
发表于2024-12-23
Graph Embedding for Pattern Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024
Graph Embedding for Pattern Recognition covers theory methods, computation, and applications widely used in statistics, machine learning, image processing, and computer vision. This book presents the latest advances in graph embedding theories, such as nonlinear manifold graph, linearization method, graph based subspace analysis, L1 graph, hypergraph, undirected graph, and graph in vector spaces. Real-world applications of these theories are spanned broadly in dimensionality reduction, subspace learning, manifold learning, clustering, classification, and feature selection. A selective group of experts contribute to different chapters of this book which provides a comprehensive perspective of this field.
评分
评分
评分
评分
Graph Embedding for Pattern Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024