并且，在数据处理过程中，准确的本征维数估计对选取合适的邻域大小有很大的帮助，可以避免“维数灾难”。
The accurate intrinsic dimension estimation also profit to select an appropriate neighborhood size in data processing for avoiding dimensionality curse.
为解决传统索引方法对高维数据索引时存在的维数灾难问题，提出一种多分辨率向量近似方法。
The Vector Approximation File approach overcomes some of the difficulties of dimensionality curse, but it cant support the quadratic form metric.
为解决传统索引方法对高维数据索引时存在的维数灾难问题，提出一种多分辨率向量近似方法。
The Vector Approximation File approach overcomes some of the difficulties of dimensionality curse, but it cant support the quadratic form metric.
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