搜索资源列表
NMI
- 社团划分的评价标准，计算网络划分的互信息，其值越大说明划分的越准确-One criteria of community detection, the larger of the NMI，the better you get the partition
CNM-algorithm
- 社区分析算法CNM，可以用来进行社区网络分析- Community analysis algorithm CNM, network analysis can be used for community
shetuan
- 利用社团的性质，将节点重度度引进，并且根据节点重要度的关系划分社团，来找出关键节点和关键信息-Using the nature of the community, the nodes to introduce severe degree, and divide communities, according to the relationship of node important degree and key information to find out the key nodes
Douglas-Peuker
- Douglas一Peukcer算法由D.Douglas和T.Peueker于1973年提出，简称D一P算法，是目前公认的线状要素化简经典算法。现有的线化简算法中，有相当一部分都是在该算法基础上进行改进产生的。它的优点是具有平移和旋转不变性，给定曲线与阂值后，抽样结果一定。 算法的基本思路是:对每一条曲线的首末点虚连一条直线,求所有点与直线的距离,并找出最大距离值dmax ,用dmax与限差D相比:若dmax < D ,这条曲线上的中间点全部舍去 若dmax ≥D ,保留dmax 对应的
detection-and-tracking
- 雷达检测跟踪过程无缝连接过程。 雷达检测跟踪过程无缝连接过程。-Detection and tracking are normally considered separate processes. First the signal processing system associated with a sensor examines the signal to determine whether to call detection. Once detection is called, it is
PRE2011Gong
- Memetic 算法在通信网络检测中的应用- Memetic Algorithm for Community Detection in Networks
cluster_jl
- 这是论文Fast_unfolding_of_communities_in_large_networks的MATLAB代码，是一种静态社区发现算法-This is the thesis Fast_unfolding_of_communities_in_large_networks MATLAB code, is a static community discovery algorithm
lfr
- 网络数据挖掘中用于研究重叠社团发现算法性能的基准网络，代码很详细。-This is used for uating the implmentation of a overlapping community detection algorithm.
cluster
- 基于节点间依赖度的社团结构划分方法,自己修改的人一种社团发现算法，C++原代码。-Detecting community structure based on the dependence between nodes
activity-recognition-based-on-DRNN
- 基于多层神经网络的人类活动识别，智能家居领域的一项重大突破。-Activity recognition has received increasing attention from the machine learning community. Of particular interest is the ability to recognize activities in real time streaming data, but this presents a number of
LPA
- 基于标签传播的实时社区发现算法研究，实现了原始标签传播算法。-The research of real-time community detection algorithm based on label propagation.The original label propagation algorithm has been come true.
NF
- 用matlab编写的快速纽曼算法，用于社团检测，对于不太复杂的网络分类效果很好-Prepared using matlab Newman fast algorithm for detecting community, for less complex network classification works well
gn
- 社区发现的经典算法 GN算法的java测试-Java test of the classical algorithm GN algorithm for community detection
Emotion-recognition
- 机器学习中基于社区网络的用户情绪识别算法，里面有23个文件，包含基于社区网络的用户情绪识别算法Python实现代码以及测试数据集。-Machine learning algorithm based on user emotion recognition of community networks, there are 23 file that contains the user' s emotion recognition algorithm based on community netw
libs.part01
- Boost库是为C++语言标准库提供扩展的一些C++程序库的总称，由Boost社区组织开发、维护。Boost库可以与C++标准库完美共同工作。(Some of the extended Boost library is for standard library language C ++ C ++ a library of programs, dyes containing two nitrogen atoms joined by Boost community organizations th
iCQA-master
- Community Question Answering 社区问答系统(Intelligent Community Question Answering (iCQA) Framework)
PSO-Python
- 粒子群算法，PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(The particle swarm optimization (PSO) al
lfm
- 重叠社区发现LFM算法，基于python实现，导入的文件是lfr基准测试网络，里面写了检测指标，文件可更改，算法通过网络邻接矩阵来实现社区划分(The overlapping community found the LFM algorithm, based on the python implementation, the imported document is the LFR benchmark network, in which the detection index is written