| 矽肺病人发元素谱的Q型逐次信息群分 |
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| 引用本文： | 李丙瑞,蒋士琦.矽肺病人发元素谱的Q型逐次信息群分[J].计算机与应用化学,1995,12(4):285-288. |
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| 作者姓名： | 李丙瑞 蒋士琦 |
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| 作者单位： | 兰州大学化学系，白银公司劳动卫生研究所，白银公司劳动卫生研究所，白银公司劳动卫生研究所 兰州 730000，白银 730900，白银 730900，白银 730900 |
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| 基金项目： | 甘肃省自然科学基金资助项目 |
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| 摘 要： | 用Ｑ型逐次信息群分对白银矿区４２名矽肺患者和４１名正常人头发样的元素谱Ｃｒ、Ｚｎ、Ｍｇ、Ａｌ、Ｃｄ进行无监督模式识别，获得分类清晰的谱系图，８３个样本的判别正确率达９８．８％。
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| 关 键 词： | 聚类分析 模式识别 矽肺 元素谱 人发 |
Q-TYPE STEPWISE INFORMATIONAL CLUSTER ANALYSIS FOR THE ELEMENTS TABLE OF SILICOTICS |
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| Li Bingrui.Q-TYPE STEPWISE INFORMATIONAL CLUSTER ANALYSIS FOR THE ELEMENTS TABLE OF SILICOTICS[J].Computers and Applied Chemistry,1995,12(4):285-288. |
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| Authors: | Li Bingrui |
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| Abstract: | Unsupervised pattern recognition for the elements table, Cr,Zn,Mg,Al,Cd, in the hair species of the 42 silicotics and the 41 others in Baiyin diggings has been performed with Q-typestepwise informational cluster analysis and clearly classified dendrograms has been given out, in which, the accuracy is 98.8%. The results indicate that Q-type stepwise informational cluster analysis for the microelements table may be used as a new technique to research and predict anthrasilicosis. |
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| Keywords: | Cluster analysis Information content Pattern recognition Anthrasilicosis Elements table |
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