Unsupervised multi-scale fuzzy clustering algorithm application in the evaluation of soil fertility
this paper adopts statistical learning theory and optimization theory to the analysis of the algorithm theory,probe into its theoretical foundation.The existing theoretical analysis on the basis of the establishment of clustering model algorithm design,code realization and finally a lot of different data set of test,choose soil data as a test database,will be in the database on a large number of data mining experiment to verify the performance of the proposed algorithm.The test result feedback back will further deepen the theoretical research or correct theory already mistakes,new theory and will continue to guide experiments,both mutual promoting common development.
Data mining clustering algorithm unsupervised multi-scale
Liying Cao Helong Yu Li Ma Guifen Chen
School of Information Technology Jilin Agricultural University Changchun China
国际会议
太原
英文
638-641
2012-12-08（万方平台首次上网日期，不代表论文的发表时间）