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传统K-means聚类算法通过欧式距离计算样本的相似度,将数据所有的属性特征均平等对待,忽略每个属性特征的不同贡献,导致样本相似度计算的准确率不高。针对这个不足,提出一种特征加权的K-means算法进行优化。首先,运用Softmax和Sigmoid逻辑回归函数计算特征权重,使得加权的欧式距离更能准确地表示样本相似度;其次,优化初始聚类中心选择策略,选择距离较大的K个样本作为初始聚类中心,可有效避免...
The present investigation evaluates the accuracy of estimating above-ground biomass (AGB) by means of two different sensors installed onboard an unmanned aerial vehicle (UAV) platform (DJI Inspire I) ...
Securing Neural Network (NN) computations through the use of Fully Homomorphic Encryption (FHE) is the subject of a growing interest in both communities. Among different possible approaches to that to...
GF-3 synthetic aperture radar (SAR) images are rich in information and have obvious sparse features. However, the speckle appears in the GF-3 SAR images due to the coherent imaging system and it hinde...
基于K-means算法的铁路运输设备单元划分方法     铁路运输  单元划分  K-means  运输设备  设备管理       font style='font-size:12px;'> 2018/11/16
铁路运输设备是铁路运输生产的基础,管理单元是铁路运输设备进行设备监控、维修、管理及分析决策的基础对象,是运输设备专业管理与综合应用的基本分析单位.为满足运输设备管理的业务需求,本文在分析铁路运输设备构成的基础上,总结提出铁路运输设备单元划分原则,基于K-means聚类算法开展铁路运输设备单元划分方法研究,并利用该方法对电务通信设备进行单元划分,实践结果证明,该方法比传统的设备类别分类方式更适合设备...
The paper describes possibilities of the relatively new technics – ground based radar interferometry for precise determining of deformation of structures. Special focus on the horizontal movements of ...
The paper describes possibilities of the relatively new technics – ground based radar interferometry for precise determining of deformation of structures. Special focus on the horizontal movements of ...
We read with interest the article by Karl et al. (1) in a recent issue of the Journal. The authors studied the effects of the substitution of whole grains for refined grains on energy-balance metrics ...
Segmentation of point clouds is recently used in many Geomatics Engineering applications such as the building extraction in urban areas, Digital Terrain Model (DTM) generation and the road or urban fu...
Locating the boundary parameters of pupil and iris and segmenting the noise free iris portion are the most challenging phases of an automated iris recognition system. In this paper, we have presented ...
Determining occlusal surface relief indicator plays an important role in odontometric tooth shape analysis. An analysis of the parameters of surface relief indicators provides valuable information abo...
针对软扩频信号因采用了编码技术使得伪码序列难以估计的问题,该文提出一种基于K-means聚类改进的软扩频信号伪码序列盲估计方法。该方法首先以单倍伪码周期的窗长对接收信号进行数据分段以构造观测数据矩阵,其次利用相似测度的理论从观测数据中寻找出K-means算法最优的初始聚类中心点,然后通过搜索平均轮廓系数(Silhouette Coefficient, SC)最大的绝对值以完成伪码集合规模数的估计,...
In this study we evaluated forest fire risk in the west of Iran using the Apriori algorithm and fuzzy c-means (FCM) clustering. We used twelve different input parameters to model fire risk in Ilam Pr...
We used the Gini index for evaluation of the 40-year transformation to selection forests in the Training Forest Enterprise Masaryk Forest Křtiny (Czech Republic). The Gini index values for parti...
40 percent of the world's population are presently living in coastal areas or along the main rivers. Taking into account that the vulnerability of these areas is increasing due to sea-level rise and c...

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