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The-LSI-text-classification-model

于 2014-01-10 发布 文件大小:16KB
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  LSI就是这样一种维数约减方法。它可以通过对“文档向量矩阵”进行解奇异值分解(SVD: Singular Value Decomposition)运算,自动计算得到一个比原始空间小得多的有效语义空间(LSI is such a dimensionality reduction method. It can be through the "document vector matrix" for the singular value decomposition (SVD: Singular Value Decomposition) operation, automatically calculated an effective semantic space is much smaller than the original space)

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