应用模糊C均值聚类法判别同调机群正确性研究     

武艳  张莉莉  蒋志勋 《廊坊师范学院学报(自然科学版)》2011,11(4):43-45

利用BPA软件以新英格兰10机39节点系统为例,验证模糊C均值聚类法判别同调机群的正确性。  相似文献   

中国延迟退休的主要影响因素及执行时间预测     

刘雅倩  朱勇  胡学峰  朱家明 《丽水学院学报》2015,(2):22-28

针对中国的延迟退休:先建立国民人均预期寿命、人口老龄化程度、劳动力供求和国民受教育等影响指标计算公式,综合分析并建立延迟退休影响力模型;再针对教师、内科医生、公司职员、客车司机、重体力劳动者5类群体,运用层次分析法得出各类群体具体退休年龄,并结合美国、日本、英国、澳大利亚、意大利等国家的相关指标数据,使用模糊聚类方法联系中国国情得出中国退休政策执行时间预测表;最后,定量分析了我国"延迟退休"政策实施对养老保险可能带来的影响。  相似文献   

Examining the Rule of Thumb of Not Using Multilevel Modeling: The “Design Effect Smaller Than Two” Rule     

Mark H. C. Lai  Oi-man Kwok 《Journal of Experimental Education》2015,83(3):423-438

Educational researchers commonly use the rule of thumb of “design effect smaller than 2” as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models (which differ in the location of the clustering effect). With a 3 (design effect) × 5 (cluster size) × 4 (number of clusters) Monte Carlo simulation study we found that the rule should not be applied when researchers: (a) are interested in the effects of higher-level predictors, or (b) have a cluster size less than 10. Implications of the findings and limitations of the study are discussed.  相似文献   

大学生图书馆借阅分析研究--以三明学院为例     

刘桂红  管强  林静洁 《乐山师范学院学报》2015,(6)

利用聚类分析法和主成分分析法对图书馆繁杂的借阅数据及流通数据进行分析,揭示大学生图书馆借阅三个主要特点：功利性借阅明显,专业型阅读目的显著,消遣性的阅读倾向突出。并根据这些特点为图书馆提出相关的建议。  相似文献   

Do labels matter? Analysis of teachers' self-efficacy towards the autism spectrum disorder depending on the diagnostic label used (ASD or Asperger's)     

Irene Gómez-Marí  Gemma Pastor-Cerezuela  Irene Lacruz-Pérez  Raúl Tárraga-Mínguez 《Journal of Research in Special Educational Needs》2023,23(2):126-135

Changes in the classification of autism and Asperger's syndrome led to changes in social perception of ASD. Since last criteria, studies indicate higher levels of stigma towards ASD than towards Asperger's. These prejudices are barriers to inclusive education. Thus, it is relevant (1) to evaluate pre-service teachers' self-efficacy towards the label of ASD; (2) to evaluate pre-service teachers' self-efficacy towards the label of Asperger's and (3) to compare those results to analyse whether the use of different diagnostic labels brings about different levels of self-efficacy. One hundred and eighty-six primary education pre-service teachers participated in the current study. Two adaptations of the Autism Self-Efficacy Scale for Teachers (ASSET) were used: a version with the label of ‘ASD’ (n = 96) and another for ‘Asperger's’ (n = 90). The scores obtained by the group asked about ASD were high according to the ASSET score range, while the scores obtained by the group asked about Asperger's were medium. After comparing the results, participants asked about the label ASD showed higher levels of self-efficacy than participants asked about Asperger's. These results could be a consequence of the consolidation of the ASD diagnosis among society and the higher presence of children with ASD in schools and cultural products, among other factors.  相似文献   

从SCI论文统计分析看瓜尔豆研究进展     

李文芯  张银铃  李宏建  刘渠华 《科技广场》2014,(8):112-116

根据Web ofScience收录论文的统计数据,分析了国际瓜尔豆研究的进展和学科领域的研究情况,根据瓜尔豆的研究成果在SCI收录论文上所反映发生的差异和变化,并以此为依据,对瓜尔豆领域的研究、应用和发展提出了意见。  相似文献   

基于灰色理论的工程造价咨询企业信用评价实证研究     

王雪青  陈伟唯  陈杨杨  韩涛涛 《科技管理研究》2014,(22)

以工程造价咨询企业为研究对象,构建其信用评价指标体系;针对其信用信息数据搜集难度大、指标数量多、相关性强的特点,以主成分分析法作为指标约简和赋权方法,以三角白化权函数灰色聚类作为信用分类方法构建其信用评价模型;最后以宁波市30个工程造价咨询企业为样本集进行实证分析,结果表明该评价模型能够较好地处理小样本、高维数的信用数据,同时具有准确率高、分类区分度好、误判成本低的优点。  相似文献   

基于国外博士学位论文的知识管理研究热点及趋势     

李干  袁勤俭 《现代情报》2014,34(6):41-47

以PQDT数据库中1984-2013年间共729篇国外知识管理领域博士学位论文为研究对象,采用Excel、SPSS软件进行共词分析、聚类分析和战略坐标图分析。结果显示：国外知识管理领域博士论文的研究主要集中在9个方面,其中知识形态研究、信息技术与知识管理系统研究、组织学习与战略管理研究是核心热点,企业创新与资本研究处于成熟研究区域,人工智能与决策支持研究处于研究的边缘位置,电子商务与知识整合研究、知识管理方式研究、知识管理应用研究有可能成为新的研究热点,组织文化研究具有发展为核心研究热点的潜力。  相似文献   

基于时间序列聚类的科研成果关键词分析方法     

李海林  林春培 《科研管理》2022,43(1):176-183

   鉴于传统方法对科研成果关键词研究存在较强主观影响和较少考虑时间因素等问题,提出基于时间序列聚类的科研成果关键词分析方法。该方法通过统计分析方法验证关键词出现顺序在一定程度上反映了关键词反映主题思想的重要性,将关键词的重要度转化为时间序列数据,分别从重要度的数值和趋势两个角度出发,使用动态时间弯曲方法度量关键词重要度时间序列数据之间的相似性,结合近邻传播方法对关键词时间序列数据之间的相似性矩阵进行聚类分析,实现科研成果的关键词分析研究。通过对某科研管理类重要期刊2008—2017年期间刊发的科研成果论文关键词研究发现：新方法不仅可以对科研成果中关键词的关注热度和趋势进行聚类划分,自适应地找到中心关键词作为相应类别的特征代表对象,还能为科研成果关键词的主题分析提供理论方法和决策支持。  相似文献   

Contrastive and attentive graph learning for multi-view clustering     

《Information processing & management》2022,59(4):102967

Graph-based multi-view clustering aims to take advantage of multiple view graph information to provide clustering solutions. The consistency constraint of multiple views is the key of multi-view graph clustering. Most existing studies generate fusion graphs and constrain multi-view consistency by clustering loss. We argue that local pair-view consistency can achieve fine-modeling of consensus information in multiple views. Towards this end, we propose a novel Contrastive and Attentive Graph Learning framework for multi-view clustering (CAGL). Specifically, we design a contrastive fine-modeling in multi-view graph learning using maximizing the similarity of pair-view to guarantee the consistency of multiple views. Meanwhile, an Att-weighted refined fusion graph module based on attention networks to capture the capacity difference of different views dynamically and further facilitate the mutual reinforcement of single view and fusion view. Besides, our CAGL can learn a specialized representation for clustering via a self-training clustering module. Finally, we develop a joint optimization objective to balance every module and iteratively optimize the proposed CAGL in the framework of graph encoder–decoder. Experimental results on six benchmarks across different modalities and sizes demonstrate that our CAGL outperforms state-of-the-art baselines.  相似文献