基于图的聚类集成与数据可视化分析-graph - based clustering integration and data visualization analysis.docx,摘要聚类分析是一门重要学科,其依据测量对象的内在特性或相似度将对象进行分组,在多种社会科学领域中都有应用,如数据压缩、数据挖掘、图像分割和信息检索
We compare "global" (e.g., degrees, distances, clustering coefficients) and "local" (e.g., most central nodes and community-type dense clusters) characteristics of considered networks. Our observations suggest that human built networks possess more intuitive global connectivity patterns, whereas ...
网络基于图;以图结构;基于图的学习 网络释义 1. 基于图 2.2.3基于图(Graph-based)的方法23-24 2.2.4 基于聚类(Clustering-based)的方法24 2.2.5 基于距离(Distance-based)的方法24-2… cdmd.cnki.com.cn|基于4个网页 2. 以图结构 将其词条、及其相关引用以图结构(Graph-based)的方式进行汇总显示有利于让...
Another approach for repeat identification and quantification was introduced in a study of the pea genome by 454 sequencing and subsequent clustering analysis of the reads [6]. This analysis was based on an all-to-all comparison of sequence reads to reveal their similarities, which were used to...
Amplification of network noise by clustering was also seen when clustering AP-MS and Y2H interaction networks in addition to CORUM, as well as other biological and nonbiological networks (Fig. 3C; see supplemental Fig. S3 for full network-versus-algorithm analysis). As was observed for CORUM, ...
(B) Graph theory analysis Clustering coefficients: These coefficients measure segregation in the network and the capability of interconnections for a specific node. Transitivity: Transitivity is the proportion of the number of the triangles in a specific region and the total number of triangles [101]...
et al. Large-Scale 802.11 Wireless Networks Data Analysis Based on Graph Clustering. Wireless Pers Commun 120, 1791–1819 (2021). https://doi.org/10.1007/s11277-021-08535-8 Download citation Accepted13 April 2021 Published21 April 2021 Issue DateSeptember 2021 DOIhttps://doi.org/10.1007/s1...
Modularity-based Graph Clustering这篇文章, 也是直接以 modularity 为目标进行的. 与之前的算法相比, 主要多了一个 pruning 过程. 注意到, 每次合并前, 首先统计: Pi={u:|Γ(u)|=1},Pi={u:|Γ(u)|=1}, 即邻居个数为 11 的节点, 然后直接将这些节点融入他们的邻居之中. 这是因为, 这种情况下: ...
This analysis is based on data collected at the two research institutes. The findings reveal heterogeneous nearest-neighbor patterns, signifying distinct tendencies of cell clustering, with a particular focus on the rectum region. These variations underscore the impact of data heterogeneity on cell ...
For the liver scRNA-seq datasets, the non-parenchymal cells and parenchymal hepatic cells were collected from the MCA39 and “GSE125688”40, respectively, wherein hepatocytes were classified into pericentral and periportal hepatocytes with principal component analyses and clustering analysis. For the MER...