The algorithm divides the data into groups by sampling the training data , initializing to a number of random points , and then running several iterations of the microsoft clustering algorithm using the expectation maximization clustering method 该算法可以对定型数据采样，初始化为一些随机点，然后使用expectation maximization ( em )聚类分析方法运行几次microsoft聚类分析算法迭代，以此将数据分组。由于
The pattern can be divided into two categories : predictive and descriptive pattern . the predictive pattern can get certain result pattern precisely from data and the descriptive pattern is the description about a rule existing in datasets or grouping data by their similarities 模式有很多种,按功能可分有两大类:预测型模式和描述型模式:预测型模式是可以根据数据项的值精确确定某种结果的模式;描述型模式是对数据中存在的规则做一种描述,或者根据数据的相似性把数据分组。
Based on the current situation of the network and the degree of the nodes , rdab calculates the relative degree of the nodes , decides which nodes need to relay and which nodes only need to receive . the higher the neighbor node ' s relative degree , the more uncovered nodes it can cover , so this kind of nodes can be selected to relay the broadcasting messages in the networks 该算法以密集节点的一次转发可覆盖更多节点为原则，动态的选择转发节点，即根据网络中节点的实时相对密度，每个需要发送数据分组的节点独立执行rdab算法，通过尽可能少的转发节点，到达覆盖全网的目的。
Based on the advantages of this algorithm , this dissertation proposed the ant - colony optimization based load - balancing routing protocol for manets ( aolr ) , which combines the algorithm of ant colony optimization with the idea of cross - layer design , in order to provide the mechanism for the evaporation of the pheromone strength and the its update mode triggered by different types of packets 本文基于蚁群优化算法的优点,提出了基于蚁群优化的负载均衡路由协议( aolr ) ,设计针对蚁群优化算法特有的信息素浓度的更新规则,将蚁群优化和跨层优化方法结合起来,设计信息素浓度的挥发以及针对不同的数据分组的更新模式。
This thesis elucidates and analyses the key techniques and rules of aolr in detail , and introduces its simulation modeling of the integrated system infrastructure and each function modules . through systematic simulation of aolr in the performance of packet delivery rate , average end - to - end delay , average route set - up delay , routing overhead , and etc , the key techniques and algorithms are testified and can provide reference for practical system design and application 通过对基于蚁群优化的负载均衡路由协议系统的仿真,从数据分组成功递交率、平均端到端时延、平均路由建立时延、路由开销等性能的仿真数据和曲线上,分别验证了该系统中的几项关键技术和算法。
