因此在数据挖掘界广为流行着一个名词——‘维数灾难’”文卡如是说道。

So one expression common in the data mining community is 'the curse of dimensionality,'" says Venkatasubramanian.

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因此在数据挖掘界广为流行着一个名词——‘维数灾难’”文卡如是说道。

So one expression common in the data mining community is 'the curse of dimensionality, '" says Venkatasubramanian."

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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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于是，这些传统方法常常被模型选择与过学习问题、非线性和维数灾难问题、局部极小点问题等困扰。

Therefore, the traditional methods are inclined to bring many problems like model-choosing, over-fitting, non-linear, disaster of dimensionality, local minimum.

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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.

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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.

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