Computer science Several optimization algorithms on clustering and graph partitioning STATE UNIVERSITY OF NEW YORK AT BINGHAMTON Zhongfei Zhang XuYiWe propose three unsupervised learning schemes focusing on clustering and graph partitioning.Xu, YiDissertations & Theses - Gradworks
对于大规模图streaming graph vertex-cut partitioning可以参考我们实验室发表于ICDE22的文章:Clustering-base...
He was the best student of the year 2010 of the faculty of informatics and received multiple awards for his dissertation. Recently, he received the Heinz Billing Prize for the advancement of scientific computing. His research interests include graph partitioning and clustering, parallel algorithms and...
I hope that after reading this blog post you have learned some of the intuition behind the spectral graph partitioning/clustering scheme and how it compares to other similar algorithms. A more formal treatment of the subject, with precise derivation of the theoretical results and detailed numerical ...
Section 3 reviews the related work on proactive edge caching policies and graph partitioning algorithms. Section 4 introduces the formalized FQPM (Frequent Query Pattern Mining) and LGP (Labeled Graph Partitioning) problems. Then, we propose LGPE in Section 5. Furthermore, in Section 6, we ...
Graph Theory - Planarity Testing Algorithms Graph Theory - Graph Embedding Graph Theory - Graph Minors Graph Theory - Isomorphism Spectral Graph Theory Graph Theory - Graph Laplacians Graph Theory - Cheeger's Inequality Graph Theory - Graph Clustering Graph Theory - Graph Partitioning Graph Theory -...
This is a modified version of the original rgmc (RG, CGGC_RG, CGGCi_RG clustering algorithms) extended with additional I/O formats and some minor fixes (mainly in the I/O): full support of the official Metis format of the input graph, refined parsing of the Pajek, added NSL input for...
(10) 聚类(clustering) 一个超图的clustering C=\{C_1,...,C_l\} 是其顶点集合的分区。 与k-way分区相对,簇(clusters)的数量不会预先提供。并且对于 C_i 的实际大小不施加平衡限制。 (11) k-way hypergraph edge partitioning (k路超图边分区) 一个H 的k-way超图边分区是将其超边集合分区到 k 个...
Graph Algorithms or Graph Analytics are used in a number of applications Clustering- the grouping of objects based on their characteristics such that there is high intra- cluster similarity and low inter-cluster similarity. Applications include machine learning, data mining, statistics, image processing...
Graph partitioning based clustering algorithms incorporate these properties easily. In this work, we partition a graph by constructing a Maximum Spanning Tree (MST) and severing the minimal edge in it to create a partition. A maximum spanning tree (MST) is a set of edges of a connected ...