To speed up high-dimensionalsimilarity search efficiency, a novel high-dimensional indexing structure based on dual distance metric (DDM) was proposed.
为了提高高维数据相似查询的效率,提出一种基于双重距离尺度(DDM)的新型高维索引结构。
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This paper discusses similarity criterion in similarity theory, and how to derivate similarity criterion of mathematics simulation model by dimensional analysis. A example for this method is given.
Nowadays the applications of spatial data similarity search are widely needed, and high dimensional spatial data index becomes a key technology of similarity search.