The research of the data mining based on the spatial database technology
With the wide application of GIS to all kinds of fields, and developing of the technique of data mining and spatial data collection, the technique of data mining in spatial database-spatial data mining is coming out In order to satisfy the peoples demand for the interesting and potentially useful knowledge from the spatial database, this thesis used a wide using spatial clustering algorithm: k-means algorithm to discover interesting and potentially useful spatial patterns embedded in spatial database, and also has realized an improved genetic algorithm based on the k-means algorithm. The improved genetic algorithm not only have the global search advantage of genetic algorithm, but also have the feature of local convergence fast of k-means algorithm, meanwhile, it overcome the sensitive to the initial election data and easily fall into the local optimal drawback by traditional k-means algorithm and also raise the convergence rate.
genetic algorithm k-means algorithm cluster
HE-bingquan Wang-jiubin Li-chao
School of Management and economics. Kunming University of Science and Technology. kunming China
国际会议
西安
英文
783-786
2010-08-07（万方平台首次上网日期，不代表论文的发表时间）