Clustering Evaluation: Evaluate the clustering result by accuracy and normalized mutual information Deng Cai, Xiaofei He, and Jiawei Han, "Document Clustering Using Locality Preserving Indexing", in IEEE TKDE, 2005. Bibtex source bestMap hun

提出了基于2层粒子滤波数据融合的道路检测框架.通过道路检测算法的2个主要模块:特征 提取和道路参数估计,同时引入粒子滤波算法,并以支持向量机(SVM)识别道路模型、初始化粒子滤波器提高算法的环境适应性,以期找到基于机器视觉的道路检测算法在鲁棒性和实时性之间更好的平衡点. -Since the normal monocular-vision based lane detection algorithms for outdoor applications sel- dom conside

Attension FM的理论论文，可用于高度稀疏数据场景，并且具有线性的计算复杂度(Factorization Machines (FMs) are a supervised learning approach that enhances the linear regres- sion model by incorporating the second-order fea- ture interactions)

实现主成分分析 % Usage: % [eigvector, eigvalue] = PCA(data, options) % [eigvector, eigvalue] = PCA(data) % % Input: % data - Data matrix. Each row vector of fea is a data point. % % options.ReducedDim