【Key words】 TCM clinical data; heterogeneous clustering; Mutual information; similarity modeling;
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Paper work includes the following aspects::1. We introduce a more innovative and widely used heterogeneous clustering algorithm because of the shortage of the Traditional clustering method.
论文做出的工作包含以下几个方面:1.由传统聚类方法的不足引入了一种更加新颖的,应用范围更广的异质聚类算法,并根据异质聚类算法能够解决多关系数据聚类的特点,重点介绍了两种不同的多路异质聚类方法,突出多路异质聚类算法在处理此类问题上的优势。
参考来源 - 多路异质聚类在中医临床数据中的应用及其研究·2,447,543篇论文数据,部分数据来源于NoteExpress
For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
针对异类传感器观测空间不一致的问题,提出了基于模糊聚类的异类多传感器数据关联算法。
So an energy and distance efficient clustering algorithm based on virtual area partition was proposed in this paper for heterogeneous wireless sensor networks.
提出了一种基于虚拟区域划分的适用于异构无线传感器网络的能量和距离有效分簇算法。
Simulational results show that the clustering scheme provides longer lifetime and higher throughput than the current important clustering protocols in heterogeneous environments.
模拟实验结果显示,与现有的重要成簇方案相比,新的成簇算法在异构网络下提供了更长的网络生存时间和更大的网络有效吞吐量。
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