Clustering Methods in Data Mining with its Applications in High Education
Data mining is a new technology, developing with database and artificial intelligence.It is a processing procedure of extracting credible, novel, effective and understandable patterns from database. Cluster analysis is an important data mining technique used to find data segmentation and pattern information.By clustering the data, people can obtain the data distribution, observe the character of each cluster, and make further study on particular clusters.In addition, cluster analysis usually acts as the preprocessing of other data mining operations. Therefore, cluster analysis has become a very active research topic in data mining.As the development of data mining, a number of clustering methods have been founded, The study of clustering technique from the perspective of statistics, based on the statistical theories, our paper make effort to combine statistical method with the computer algorithm technique, and introduce the existing excellent statistical methods, including factor analysis, correspondence analysis, and functional data analysis, into data mining.
Data Mining Cluster Analysis Statistical Method
Yujie Zheng Yuanming Huang
School of Computer,GuangXi Economic Management Cadre College,GuangXi,Nanning,530007
国际会议
成都
英文
939-943
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）