Research on Application of K-means Cluster Analysis in Data of Fire Fighting Receive-disposal Alarm

被引：0

作者：

Dong Fajun ^{[1
]}

Ma Wen ^{[2
]}

机构：

[1] Chinese Peoples Armed Police Force Acad, Minist Publ Secur, Key Lab Fire Fighting & Rescuing Technol, Langfang 065000, Hebei, Peoples R China

[2] Chinese Peoples Armed Police Force Acad, Dept Fire Engn, Langfang 065000, Hebei, Peoples R China

来源：

NEW PERSPECTIVES ON RISK ANALYSIS AND CRISIS RESPONSE | 2009年

关键词：

data mining; fire fighting receive-disposal alarm; k-means clustering; ANOVA; RANK-CHANGE;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The paper adopts k-means cluster analysis in SSPS to mine 3063 collected data samples of fire fighting receive-disposal alarm in a certain city from 2003 to 2006, preliminarily verifies the validity of k-means cluster variables and briefly analyzes the mining results. The results show that, there exists certain features in clusters formed by data of fire receive-disposal alarm, which has guiding significance for fire alarm receive and disposal, meanwhile, makes primary exploration into application of data mining in analyzing data of fire fighting receive-disposal alarm.

引用

页码：709 / +

页数：2

共 12 条

[1] CLUSTERING CULTIVARS INTO GROUPS WITHOUT RANK-CHANGE INTERACTIONS [J].