Application of improved multidimensional spatial data mining algorithm in agricultural informationization.

At this stage, with the continuous development of data acquisition technology, the mining of high-dimensional spatial data has become a hot issue. And so on. The spatial data mining component studied in this paper is part of the spatiotemporal data middleware. The main research result is to propose a density-based and grid-based extended adjacent spatial clustering method and apply this method to the space for agricultural informatition. In data mining, we also used the middleware technology to complete the agricultural geographic information system based on MapXtreme, and applied the spatial data mining for agricultural informatization to develop the middleware of agricultural variety division, which solved the agricultural informatization. The practical application is of our country. [ABSTRACT FROM AUTHOR]