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LPA(C)
- 复杂网络的结构检测室近几年的研究热点，目前最快的算法是标签传播！-Community detection is hot topic in recent years. The most fast algorithm for community detection is Label Propagation Algorithm(LPA),and this is the program!
self-taught-learning
- 自主学习把稀疏自编码器和分类器实现结合。先通过稀疏自编码对无标签的5-9的手写体进行训练得到最优参数，然后通过前向传播，得到训练集和测试集的特征，通过0-4有标签训练集训练出softmax模型，然后输入测试集到分类模型实现分类。-Independent Learning the encoder and the sparse classifiers achieve the combination. First through sparse coding since no label was ha
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.
LPA
- 标签传播算法JAVA实现 初始化，每个结点携带一个唯一的标签；然后更新结点的标签，令其标签与它的大多数邻居的标签相同，若存在多个则随机选择。迭代直至每个结点的标签不再变化。-Label propagation algorithm
lpa---java
- 标签传播算法(LPA)是由Zhu等人于2002年提出，它是一种基于图的半监督学习方法，其基本思路是用已标记节点的标签信息去预测未标记节点的标签信息。-Code label propagation algorithm
slpa-py-master
- 基于标签传播的复杂网络的重叠社区发现方法:SLPA.(The Label Propagation Algorithm for overlapping community detection in complex networks.)