Hierarchical maximum likelihood clustering approach
Objective: In this paper, we focused on developing a clustering approach for biological data.
In many biological analyses, such as multiomics data analysis and genome-wide …
In many biological analyses, such as multiomics data analysis and genome-wide …
HML-based smart positioning of fusion center for cooperative communication in cognitive radio networks
A Mukherjee, P Goswami… - IEEE Communications …, 2016 - ieeexplore.ieee.org
This letter addresses the problem of the fusion center (FC) positioning based on the novel
approach of hierarchical maximum likelihood clustering for cooperative communication. In a …
approach of hierarchical maximum likelihood clustering for cooperative communication. In a …
Learning the interference graph of a wireless network
A key challenge in wireless networking is the management of interference between
transmissions. Identifying which transmitters interfere with each other is a crucial first step. In …
transmissions. Identifying which transmitters interfere with each other is a crucial first step. In …
[PDF][PDF] 基于最大公共路径匹配的拓扑推断算法
姜守达， 尹文涛， 杨京礼， 魏长安 - 电子学报, 2016 - ejournal.org.cn
针对存在节点动态加入和退出的网络, 提出了一种基于最大公共路径匹配的拓扑推断算法.
该算法根据背景流量影响对“三明治” 包中两个小包进行排序重组, 利用重组后的“三明治” …
该算法根据背景流量影响对“三明治” 包中两个小包进行排序重组, 利用重组后的“三明治” …