Combination Clustering Analysis Method and its Application

2013 ◽  
Vol 13 (8) ◽  
pp. 1251-1255
Author(s):  
Yang Liu ◽  
Qin-Liang Li ◽  
Li-Yuan Dong ◽  
Bang-Chun Wen
Keyword(s):  
Clustering Analysis ◽  
Analysis Method

The College Enrollment Plan: An Application of Fuzzy Clustering Analysis Method

2014 ◽  
Vol 631-632 ◽  
pp. 103-106
Author(s):  
Mei Gui ◽  
Yue Lin Huang
Keyword(s):  
Fuzzy Clustering ◽  
Clustering Analysis ◽  
Social Life ◽  
College Enrollment ◽  
Analysis Method ◽  
Rational Analysis ◽  
University Admissions ◽  
Fuzzy Clustering Analysis ◽  
Statistical Indicators ◽  
Maximum Minimum

Fuzzy clustering analysis method is one of the most widely used fuzzy mathematics method, applied in various fields of social life. In this paper, it researches the method of fuzzy clustering analysis and its application in college enrollment plan based on the fuzzy set theory, we choose a university admissions situation as statistical indicators 30 provinces (cities) in the country in 2011, similarity matrix is established by the method of maximum minimum, the direct clustering method is used for clustering analysis. On the basis of detailed analysis, the results show that fuzzy clustering analysis method for the college enrollment plan makes scientific and rational analysis, and has very good guidance, strong practicability.

Time-Space Characteristics Distribution of Traffic Accidents Based on Clustering Analysis

2013 ◽  
Vol 684 ◽  
pp. 604-607
Author(s):  
Yi Zheng ◽  
Ling Wang
Keyword(s):  
Clustering Analysis ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Analysis Method ◽  
Annual Average ◽  
Type Distribution ◽  
Time Space ◽  
Road Type ◽  
Daily Time

This paper uses clustering analysis method to explore time-space characteristics distribution of traffic accidents, losses converted into cash, number of deaths and injuries. We select hierarchical clustering method to analyze about 458 thousands road traffic accidents in china from 2009 to 2010. And the time-space characteristics distributions include month distribution, annual average daily distribution, annual average daily time of occurrence distribution, road type distribution, road alignment distribution. The results show that traffic accidents on expressway are bound up with these characteristics.

An improved temporal clustering analysis method applied to whole-brain data in fMRI study

2007 ◽  
Vol 25 (1) ◽  
pp. 57-62 ◽  
Author(s):  
Na Lu ◽  
Bao-Ci Shan ◽  
Jian-Yang Xu ◽  
Wei Wang ◽  
Kun-Cheng Li
Keyword(s):  
Clustering Analysis ◽  
Analysis Method ◽  
Whole Brain ◽  
Temporal Clustering ◽  
Fmri Study ◽  
Brain Data ◽  
Temporal Clustering Analysis

Ka-Band Satellite Channel Multi-State Markov Model Based on Dust Storm Weather and Shadow Multi-Path Effects

2013 ◽  
Vol 706-708 ◽  
pp. 1786-1789
Author(s):  
Ye Cai Guo ◽  
Tao Yuan ◽  
Xiu Zai Zhang
Keyword(s):  
Markov Model ◽  
Dust Storm ◽  
Clustering Analysis ◽  
Channel Model ◽  
Weather Condition ◽  
Propagation Characteristic ◽  
Analysis Method ◽  
Ka Band ◽  
Model Based ◽  
Fuzzy Clustering Analysis

In the existing Ka-band satellite channel model, the weather condition considered in the modeling are relatively ideal, so it can't be used to the dust storm weather well. In order to establish the satellite channel model under the condition of dust storm weather, the satellite channel propagation characteristic of dust storm weather is analyzed firstly. Secondly, the several states of the satellite channel model in the dust storm weather are divided by fuzzy clustering analysis method. Finally, Ka-Band satellite channel multi-state Markov model based on dust storm weather and shadow multi-path effects is established and simulated. The simulation results show that the proposed Ka-band channel model is very agreeable with the measured data.

Sign in / Sign up

Export Citation Format

Share Document