摘要：高维数据之间的相似性度量问题是高维空间数据挖掘中所面临的问题之一。
Absrtact: the problem of similarity measurement between high dimensional data is one of the problems high-dimensional data mining faces.
并在保持各数据点临近位置关系情况下，把高维空间数据点映射为低维空间对应的数据点。
The data points in high dimensional space were mapped into corresponding data points in lower dimensional space under preserving distance between data points.
目前空间数据相似性查询有着广泛的应用需求，解决相似性查询问题的一项关键技术就是高维空间数据索引。
Nowadays the applications of spatial data similarity search are widely needed, and high dimensional spatial data index becomes a key technology of similarity search.
目前空间数据相似性查询有着广泛的应用需求，解决相似性查询问题的一项关键技术就是高维空间数据索引。
Nowadays the applications of spatial data similarity search are widely needed, and high dimensional spatial data index becomes a key technology of similarity search.
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