high-dimensional data index 高维数据索引
The study of high dimensional data index method is the key problem of content based search in large scale multimedia databases.
在大规模多媒体数据库中进行基于内容的检索，高维数据索引结构的研究是重要问题。
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。
By designing projection index it projects high dimensional data set to low dimensional space to reveal the internal structures and characters of high dimensional dataset.
投影寻踪方法是根据特定的应用意义设计相应的投影指标，把高维数据集投影到低维数据空间后进行分析，揭示高维数据集内部的结构和特征。
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