搜索资源列表
social-networks-mining
- 社会网络挖掘 随书配套代码下载，详尽，有效-Social Network Mining Codes matching with the book, detailed and effective
Bayesian-networks-for-Data-Mining
- 贝叶斯网络的介绍及其在数据挖掘和模式识别中的应用-Introduction Bayesian network and its application in data mining and pattern recognition
k_clique
- [X,Y,Z] = k_clique(k,A) Inputs: k - clique size A - adjacency matrix Outputs: X - detected communities Y - all cliques (i.e. complete subgraphs that are not parts of larger complete subgraphs) Z - k-clique matrix-k-clique alg
Datasets
- 一些复杂网络的数据集，包括karate，dolphins，football等，分别为n*2和n*n矩阵形式，还有对数据集进行转换的代码-datasets of complex networks
DeepLearning-master
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。[1] 深度学习的概念由Hinton等人于2006年提出。基于深信度网(DBN)提出非监督贪心逐层训练算法，为解决深层结构相关的优化难题带来希望，随后提出多层自动编码器深层结构。此外Lecun等人提出的卷积神经网络是第一个真正多层结构学习算法，它利用空间相对关系减少参数数目以提高训练性能。[1] 深度学习是机器
NNSimulator
- Neural Networks Backpropagation Simulator in Java. Converted C++ codes of the book, C++ Neural Networks and Fuzzy Logic)-Neural Networks Backpropagation Simulator in Java. Converted C++ codes of the book, C++ Neural Networks and Fuzzy Logic)
big-data
- 介绍了大数据时代的发展以及大数据与大数据在经济学的应用，还有大数据的安全与隐私保护，网络大数据的现状与展望-It introduced the development of big data and big data era of big data applications and economics, as well as large data security and privacy protection, the current situation and prospect of larg
Social-Networks-PPT-a-R
- 主要内容为R语言环境下的社交网络数据挖掘，附有源代码和数据，并包含案例所使用的PPT和相关文献。-The main content is under R locales social network data mining, with the source code and data, and includes cases PPT and related documentation used.
Overview-of--DCS-in-CN
- 复杂网络中的社团结构算法综述 关 键 词 ：复杂网络 社团结构 层次性 模块度函数 重叠性-Overview of Algorithms for Detecting Community Structure in Complex Networks
GA-Net
- 很经典的社区网络问题解决方案，基于传统的遗传算法GA为优化策略。-GA-Net: A Genetic Algorithm for Community Detection in Social Networks
Newman
- 数据挖掘 社团挖掘 NewMan算法 参考文献：M. E. J. Newman,Fast algorithm for detecting community structure in networks -data Mining, Newman
nn-classification
- Matlab code for classification using neural networks
Localization
- 经典的无线传感网络（WSN）节点定位算法的matlab代码，算法包括: RSSI, Centroid, APIT, DV-hop, Amorphous, Bounding Box, Grid Scan, MDS-MAP-Classic wireless sensor networks (WSN) localization algorithm matlab code, algorithms include: RSSI, Centroid, APIT, DV-hop, Amorphous, Boun
BNT_SLP.tar
- Learning methods for Bayesian Networks and statistical tools
WSnet
- 小世界网络模拟，首先从n个顶点环形开始，每个顶点由无向边连接最近的k个顶点，疾病根据传染率r进行传播，并计算临界值rhalf-calculate of smallword networks
zonghexunlian
- 信息智能分析综合作业，神经网络,chongqing-Comprehensive information intelligence job analysis, neural networks, chongqing
WS_net
- 复杂网络中小世界网络生成程序，可以用matlab生成制定聚类系数 连接概率和平均最短路径长度的经典小世界网络(A small world network generating program for complex networks, which can be used to generate a classical small world network with clustering coefficients, connection probabilities and average sho
deep_complex_networks-master
- 该存储库包含重现深层复杂网络文章中提供的实验的代码。(This repository contains code which reproduces experiments presented in the paper Deep Complex Networks.)
GAN-minist-tensorflow-master
- GAN 的基本例程，能够很好的帮助你理解生成对抗网络(The basic routines of GAN can help you understand how to generate confrontation networks.)