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。
The splitting strategy for high dimensional data set is important for the performance of the indexing of high-dimensional database.
数据集的划分策略是影响高维数据库索引性能的一个关键因素。
Facing the massive volume and high dimensional data, how to build effective and scalable algorithm for data mining is one of research directions of data mining.
面对大规模、高维的数据，如何建立有效的，可扩展的分类数据挖掘算法是数据挖掘研究的重要方向之一。
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