The Research on Varying Weight Kmeans and Its Application [PDF]
, 2017 Kmeans是数据挖掘中一种比较常见的无监督机器学习方法，近年来很多学者对此进行研究，并且根据不同领域的数据特性提出了许多改进Kmeans的算法。本文也是关于Kmeans算法的研究，研究的主要问题是：一是在聚类时，所有特征变量可能受到某个暴露变量的影响从而对聚类效果的贡献不同，二是对于高维数据造成的维数灾难，如何删除冗余变量再进行聚类从而提高聚类的准确性。 针对上面两个问题，本文提出了变权重稀疏Kmeans的算法。为解决第一个问题，本文对每个特征变量对聚类效果的贡献引入了特征权重 ...
刘婉婉
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, 2018 目的:解决当前医疗物联网应用中顶层设计缺乏和标准不统一的问题,加强医疗物联网数据监管,充分利用物联网可穿戴设备采集的数据,辅助医生及时有效地进行疾病预防干预和治疗。方法:采用Hadoop、REST、Hbase等关键技术,构建区域医疗物联网监管平台,实现健康监护,并以厦门慢病全程健康管理为切入点进行应用与实践。结果:医疗物联网监管平台在厦门全程慢病管理中的成功应用,能有效辅助基层医疗卫生机构管理者进行监管决策,辅助家庭医生进行健康照护,提升了居民的满意度与家庭医生的服务存在感。结论 ...
刘辉 +5 more
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