| 1. | Application of hierarchical cluster analysis in raising outlay of science research
聚类分析在我国科研经费筹集中的应用 |
| 2. | Hierarchical clustering method
系统聚类法 |
| 3. | Hierarchical cluster analysis and comprehensive evaluation of zizania caduciflora germplasm
茭白资源的系统聚类分析及综合评估 |
| 4. | A hierarchical clustering algorithm and cooperation analysis for wireless sensor networks
无线传感器网络中一种层次分簇算法及协作性分析 |
| 5. | Expected results were achieved in the hierarchical clusters of the chromatographic data of the plants of ephedrine which supplied the foundation for studying crude drugs category
色谱数据的系统聚类结果得到了预期效果，为研究麻黄属药材的类别提供了依据。 |
| 6. | At first , the data surface is partitioned into small blocks , and points in each block are reorganized into error - controlled lods by hierarchical clustering and lod organization
首先对输入模型进行分块处理，获取的每一分块分别建立误差控制下的多分辨率数据结构。 |
| 7. | After 30 provinces aging are hierarchical clustered , 5 models are got : high aging , middle - high aging , middle aging , light - middle aging , slight aging
可将老龄化分为五种模式：高度老龄化模式、中高度老龄化模式、中度老龄化模式、中低度老龄化模式、低度老龄化模式。 |
| 8. | Through some specific experiments , we analyse and compare the characters of some discretization methods such as hierarchical clustering analysis , recursive minimal entropy method , and one - rule
通过具体实验，分析和比较了层次聚类法、递归最小熵法和one - rule等离散化方法的性能特点。 |
| 9. | In the field of clustering , by comparing some clustering methods and analysing characteristic of science data , we propose an improved hierarchical clustering method synthetic idea of k - means method
在聚类方面,经过比较各种聚类算法和分析科学数据的特点,提出了结合k -平均思想的改进型系统聚类算法。 |
| 10. | In contrast to most existing fuzzy identification methods , this method uses a hierarchical clustering architecture based on a hybrid neural network for decreasing computational cost of fuzzy identification procedures
与现有方法不同，该模糊辨识方法采用自组织神经网络和模糊聚类网络两部分组成的三层神经网络来实现。 |
