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- cluster validity analysis 聚类有效性分析
- The advantage of CAS theory and its model in validity analysis of systems was pointed out. 指出了复杂适应系统及其仿真模型在制度有效性分析方面的优势。
- A simulation approach based on CAS modeling to validity analysis of systems was created. 提出了基于复杂适应系统模型的制度有效性仿真分析方法。
- METHODS: Both qualitative coding method and Delphi method were applied during the content validity analysis of an In-basket test. 方法:在公文筐测验研究工作过程中采用质化研究的方法对测验内容效度进行分析;并与传统的专家评定内容效度的方法进行比较.
- In the first study, data was gathered from 80 Taiwanese with a chronic illness and was subjected to item analysis and convergent validity analysis. 第一个研究以80位台湾慢性病患者为对象，重点在做量表的项目分析与辐合效度分析。
- First, fuzzy C-means (FCM) clustering method based on a new cluster validity index is used to obtain the optimal discrete values of the continuous attributes. 采用基于一种新的聚类有效性准则函数的模糊C均值聚类算法对连续属性进行离散化；
- This research adopted descriptive statistics analysis, validity analysis, and creditability analysis, and it used structure equation model as analyzing tool. 本研究采用叙述性统计分析、效度分析及信度分析、结构方程模式为分析工具。
- Cluster validity function used for FCM segmentation 面向FCM聚类阈值分割的聚类有效性判别函数
- Fuzzy C means clustering is introduced to fuzzify the continuous attribute,and the best minute class number is obtained by the valid analysis of clustering. 引入模糊C均值聚类算法进行连续属性模糊化,通过聚类有效性分析来确定最佳分类数目,克服了属性模糊化方法需要人为确定划分类数的缺点。
- Considering the characteristics of microarray, we design and realize a FCM model based on clustering validity functions. 结合基因微阵列的特点,设计并实现了一种基于聚类有效性函数的模糊C均值模型。
- This paper discusses the fuzzy C-means algorithm(FCM) , one of the fuzzy clustering methods and clustering validity measurements. 本文讨论了模糊聚类中的模糊C均值算法和聚类有效性测度。
- Cluster Validity Based on Possibilistic Distribution 基于可能性分布的聚类有效性
- To consider the geometry structure information of data set, new clustering validity functions are defined by modify possibilistic partition coefficient. 该文考虑到数据集的几何结构信息,对可能性划分系数进行改进,提出了新的聚类有效性标准。
- The Validity Analysis of Articles of Association 公司章程效力探析
- Reliability and validity analysis 信效度分析
- A New Cluster Validity Index for Fuzzy Clustering 模糊聚类中判别聚类有效性的新指标
- However,HAC methods have several drawbacks,such as high time and memory complexities when clustering,insufficient and inaccurate cluster validation,etc. 但层次聚类也存在着几个缺点,如聚类时的时空复杂性高;聚类的簇效率低、误差较大等。
- Based on the classical fuzzy cmeans(FCM), a function for measuring clustering validity and a heuristic method to calibrate the fuzzy exponet iteratively are defined, and a practical fuzzy neural network model is proposed. 在传统的模糊C-均值算法的基础上，给出了一个衡量聚类有效性的函数和确定模糊指数的启发式方法，并给出了应用该算法的具体的模糊神经网络模型。
- A cluster of stars smaller than a constellation. 星群，星座比星座小的一簇星星
- Validation analysis showed that ligation direction of the scFv gene of Pichia pastoris and the Fc fragment DNA was correct and was in agreement with the correct reading frame of scFv-Fc. 序列分析表明,scFv基因与Fc片段基因拼接正确,阅读框正确无误,表明成功构建了抗脂肪细胞40000特异膜蛋白scFv-Fc融合抗体毕赤酵母表达载体。
