求翻译：随着各行各业的快速发展，产生的各类数据呈指数型爆发增长，尤其是大规模的高维数据，已远远超出了现有的传统科学技术和信息系统的处理能力。于是，数据降维方法显得尤为重要，它是将高维空间中的样本点通过线性变换或非线性变换的方式映射到一个低维空间中，从而可以获得一个关于原数据集的低维表示。对于高维数据的处理，采用传统的数据分析技术效果很差甚至失效。是什么意思？

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With the rapid development of various trades and industries to produce the types of the exponential data growth, especially in the outbreak of large-scale high-dimensional data, are far exceed the existing traditional science and technology and information system capacity. Thus, the data in the 2D m

Along with all the various trades' and occupations' fast development, each kind of data which produces assumes the type of index numbers eruption to grow, the large-scale high Uygur data, has in particular far exceeded the existing traditional science and technology and information system handling a

With the development of industries, producing exponential type growth of various types of data, in particular the proliferation of high-dimensional data, far beyond the traditional science and technology and information system processing capabilities. Thus, data dimension reduction method is very im

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