Analysis on KPI Factors to Choose Lands with Fuzzy ISODATA Clustering
Clustering is an example of a class of optimization problems. In the classical clustering, an item must belong to any one cluster. But fuzzy clustering describes more accurately the ambiguous type of structure in data. The fuzzy ISODATA clustering exhibits the rapid convergence in finding the best classification program when the classification number is given. In this paper, we propose the algorithm to solve the choosing lands problem and show the result of the experiment The result is satisfied to realtors in choosing lands.
component KPI Factor Fuzzy ISODATE
Yali Pan Chengjie Li
Science College Shandong University of Science and Technology Qingdao, China Dept. of Mathematics Zaozhuang University Zaozhuang, China
国际会议
2011 International Conference on Information and Industrial Electronics(2011年信息与工业电子国际会议 ICIIE 2011)
成都
英文
159-161
2011-01-14（万方平台首次上网日期，不代表论文的发表时间）