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2020-美赛论文排版.doc
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2020-美赛论文排版
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For office use only
T1
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_T2
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T3 ________________
T4 ________________
Team Control Number
111111
Problem Chosen
ABCDEF
For office use only
F1 ________________
F2 ________________
F3 ________________
F4 ________________
2019
MCM/ICM
Summary Sheet
(Your team's summary should be included as the first page of your electronic submission.)
Type a summary of your results on this page. Do not include the name of your school, advisor, or team
members on this page.
题目(Times New Roman、加粗、三号字体)
Summary
Summary,即摘要(只写在此页上,不要写多,最好写 2/3 或 3/4 页,太少了没有说服力!不要低
估了评委的能力!)
(Times New Roman、五号字体、行距(固定值 18 磅为好)、为了美观,图文并茂,最好每段前
面空 4 个英文字母,同时在段落中选择两端对齐>按钮)
(这些操作都在字体和段落中实现,不会的一定要问老师,不可擅自做主!)
如,下文比较美观:
According to HIGHWAY CAPACITY MANUAL(HCM 2000)[1], a basic freeway segment can be
characterized by three performance measures: density in terms of passenger cars per mile per lane, speed in
terms of mean passenger-car speed, and volume-to-capacity (v/c) ratio.
Each of these measures is an indication of how well traffic flow is being accommodated by the
freeway. The three measures of speed, density, and flow or volume are interrelated. If values for two of
these measures are known, the third can be computed.
Keywords:(每个关键词用 Times New Roman 下的分号隔开,最好 5~7 个,不能少了!)
Team #报名号
CONTENTS
1 Introduction 1
1.1 Significance of Data Analysis 1
1.2 Research Status on Multi-granularity Rough Set 3
1.2.1 Basic concept of Rough Set 5
1.3 Multi-granularity Rough Set 8
2 Clustering Analysis for Mixed Data Based on Multi-granularity 11
2.1 Attribute Reduction 1.4.1 Sample Size 11
2.2 Clustering Analysis for Mixed Data Based on Multi-granularity 13
2.2.1 Clustering Analysis for Mixed Data Based 13
2.3 Sampling Validity 20
3 Clustering Analysis for Mixed Data Based on Multi-granularity 23
3.1 Attribute Reduction 1.4.1 Sample Size 24
3.2 Clustering Analysis for Mixed Data Based on Multi-granularity 25
3.2.1 Clustering Analysis for Mixed Data Based 45
3.3 Sampling Validity 66
4 Conclusion 67
References 68
Appendix(若有) 70
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