evolutionary-affinity-propagation-master

代码说明：

说明：  进化亲和力传播（EAP）是一种进化聚类方法，它试图对在多个时间点收集的数据进行聚类，同时考虑到潜在的动态并保持时间平滑性。 EAP的主要独特功能是： EAP自动确定每个时间步长的群集数。 通过依赖因素图中引入的某些共识节点，EAP可以准确，高效地跟踪整个集群。 EAP通过在不同时间步长代表数据的节点之间传递消息来标识全局群集解决方案。 EAP输出为每个时间点的每个数据点提供群集成员身份。 EAP框架允许在不同的时间步长具有不同数量的群集，以及数据点的插入和删除。 用法(EAP automatically determines the number of clusters at each time step. By relying on certain consensus nodes introduced in the factor graph, EAP accurately and effciently tracks clusters across time. EAP identifies the global clustering solution by passing messages between the nodes representing data at different time steps. The EAP output provides the cluster membership for each data point at each time instance. The EAP framework allows having different numbers of clusters at different time steps as well as data point insertions and deletio)

文件列表：

evolutionary-affinity-propagation-master\evolutionary_affinity_propagation.m, 38717 , 2021-04-09
evolutionary-affinity-propagation-master\LICENSE, 1062 , 2021-04-09
evolutionary-affinity-propagation-master\README.md, 2494 , 2021-04-09
evolutionary-affinity-propagation-master\run_EAP.m, 1409 , 2021-04-09
evolutionary-affinity-propagation-master\sample_data.mat, 79013 , 2021-04-09
evolutionary-affinity-propagation-master, 0 , 2021-04-09