Welcome![Sign In][Sign Up]
Location:
Search - label propagation

Search list

[matlablp_std

Description: 标准label propagation的一个实现版本,实现为函数,可以直接调用即可。-As a standard implementation of label propagation algorihtm, you could integrate into your work freely.
Platform: | Size: 1024 | Author: Turing | Hits:

[matlabNMLP

Description: Non-metric label propagation 的MATLAB 实现源码-the code of non-metric label propagation by matlab
Platform: | Size: 3072 | Author: fuwalinzi | Hits:

[Data structsLPA(C)

Description: 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!
Platform: | Size: 35309568 | Author: 陈晓伟 | Hits:

[Technology Managementlp

Description: 平衡化的标签传播算法在图上的应用,英文文献-Balanced Label Propagation for Partitioning Massive Graphs
Platform: | Size: 1277952 | Author: robin | Hits:

[JSP/Javalpa

Description: 标签传播算法同步更新,能快速准确识别社团,当为二分图时会产生震荡现象-Synchronized label propagation algorithm can quickly identify the community, when for the bipartite graph will produce shock phenomenon
Platform: | Size: 2048 | Author: 李方 | Hits:

[AI-NN-PRself-taught-learning

Description: 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 handwritten 5-9 training obtain the optimal parameters, and then through the front propagation, get the training and test sets of features, a label by 0-4 trained softmax model train set, then enter the test set to the classification model to classify.
Platform: | Size: 9228288 | Author: 单清序 | Hits:

[AI-NN-PRLPA

Description: 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.
Platform: | Size: 38912 | Author: 付娇 | Hits:

[DataMiningSSL_LP

Description: SSL(Semi-Supervised Learning) with GRF: Implementation of Label Propagation Algorithm introduced in, Zhu, Xiaojin, Zoubin Ghahramani, and John Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. ICML. Vol. 3. 2003. (Original closed-form solution version and iterative version are included)-SSL(Semi-Supervised Learning) with GRF: Implementation of Label Propagation Algorithm introduced in, Zhu, Xiaojin, Zoubin Ghahramani, and John Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. ICML. Vol. 3. 2003. (Original closed-form solution version and iterative version are included)
Platform: | Size: 2789376 | Author: mllab | Hits:

[Internet-NetworkLPA

Description: 标签传播算法,用于挖掘网络中的社团结构的算法。它最大的优点在于近线性的时间复杂度。-Label propagation algorithm is a algorithm for mining community structure of complex networks. Nearly linear time complexity is its greatest advantage.
Platform: | Size: 3072 | Author: 赵玥 | Hits:

[AI-NN-PRLPA

Description: 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
Platform: | Size: 2048 | Author: 李项 | Hits:

[matlab48---A-Multi-Label-Learning-Method-Using-Affinity

Description: 48 - A Multi-Label Learning Method Using Affinity Propagation and Support Vector Machine
Platform: | Size: 10354688 | Author: MUSTAFA | Hits:

[DataMininglpa---java

Description: 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
Platform: | Size: 2048 | Author: xt | Hits:

[AI-NN-PRCOPRA

Description: Finding overlapping communities in networks by label propagation论文中基于LPA的扩展算法COPRA,可以用于重叠社区的发现(COPRA, an extension algorithm based on LPA, can be used to discover overlapping communities)
Platform: | Size: 2048 | Author: 短岛的白雪 | Hits:

[Mathimatics-Numerical algorithmsslpa-py-master

Description: 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.)
Platform: | Size: 5120 | Author: wanyou9 | Hits:

CodeBus www.codebus.net