| 聚类分析在地区科技进步统计监测中的应用 |
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| 引用本文： | 黄西川,韩玉启. 聚类分析在地区科技进步统计监测中的应用[J]. 南京理工大学学报(自然科学版), 2003, 27(3): 305-309 |
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| 作者姓名： | 黄西川 韩玉启 |
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| 作者单位： | 南京理工大学经济管理学院,南京,210094 |
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| 摘 要： | 该文运用多元统计分析方法，通过建立优化准则，对地区科技进步统计监测模型进行了降维优化处理。经检验，降维后的新指标体系对原指标体系具有良好的替代性，从而给出在综合评价中经常遇到的由大量指标构成的模型进行优化的一种方法。该方法有助于提高综合评价建模的科学性、简明性和实践运用的可操作性。
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| 关 键 词： | 聚类分析 科技进步 统计 监测 优化 |
| 修稿时间： | 2002-12-11 |
Application of Cluster Analysis to Accounting and Monitoring for Regional Scientific and Technological Progress |
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| HuangXichuan HanYuqi. Application of Cluster Analysis to Accounting and Monitoring for Regional Scientific and Technological Progress[J]. Journal of Nanjing University of Science and Technology(Nature Science), 2003, 27(3): 305-309 |
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| Authors: | HuangXichuan HanYuqi |
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| Abstract: | In this article, dimension reduction optimization treatment has been made to accounting and monitoring model on regional scientific and technology progress by using the multiple element accounting and analysis method and establishing the criteria for optimization. Tests show that the new parameter system after dimension reduction can well substitute the original parameter system, thus providing a method to optimize models consisting of large number of parameters, which are frequently encountered in comprehensive evaluation. This method can help to make the modeling for comprehensive evaluation more scientific and simple, and also increase its operability in practical application. |
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| Keywords: | cluster analysis scientific and technological progress accounting monitoring optimization |
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