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A method of applying PCA to dimensionality reduction in large scale data

Source: Internet
Author: User
Keywords Large data dimensionality reduction
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A method of applying PCA to dimensionality reduction in large scale data

China Seismological Network Center Zhaojuiru

PCA is a commonly used linear dimensionality reduction method, but in practical application, when the data scale is large, the sample data can not be read into memory for analysis and calculation. In this paper, a method for reducing the dimension of large scale data using PCA is proposed, which solves the problem that large scale data cannot be reduced directly without the help of Hadoop cloud computing platform.


A method of applying PCA to dimensionality reduction in large scale data

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