Research of new clustering algorithm SGRIDS based on grid data compression
一种新的基于网格压缩的聚类算法SGRIDS研究

By introducing a new grid-based data compression framework, conducted the study on the clustering algorithm SGRIDS which dealed with a large spatial databases. Considering that the input parameter has a great impact on the quality of clustering algorithms, improved the settlement of the value for density threshold, decreased the impact of input parameter, thus attaining a better clustering effect.