基于图模型的图像分割并行算法研究与实现,该方案通过网格划分来实现相似度矩阵的并行计算同时考虑到相似度矩阵的稀疏性和矩阵向量乘运算的内在并行性, 在该方案中本文设计并行算法来求解特征值问题在环境下的实验结果表明, 该并行方案是提高图模型分割方法实时性的有效途径.-Image segmentation based on graph model of parallel algorithm and implementation of the program through the mesh to ach

图挖掘，图聚类m文件主要包含4个功能：图的生成，图相似度分析析，节点符号化，边权挖掘，详细说明见注释，已通过测试。 -Graph mining site cluster m file contains four main functions: the generation of map, Figure similarity analysis, node symbols, tap the edge of the right described in detail in the Notes, h

EuclideanSimilarityNormalized

simrank实现图结构相似度计算，计算各个节点相似度-Simrank to achieve the similarity of the graph structure calculation, calculate the similarity of each node