Research on Application of Cluster Analysis in Fire Fighting Domain

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 2009 to 2012, selects four describable attributes of these data as cluster variables, then verifies the validity of cluster variables and 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-fighting and rescue work, meanwhile, makes primary exploration into application of data mining in analyzing data of fire fighting receive-disposal alarm.