High-dimensional vector data visualization method and system based on double-layer anchor point graph projection optimization
An anchor point and vector technology, applied in the field of big data visualization, can solve the problems of wrong visual layout structure, inability to support large-scale data visualization, poor parallelism, etc.
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[0064] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be pointed out that the embodiments described below are intended to facilitate the understanding of the present invention and do not have any limiting effect on it.
[0065] Such as figure 1 As shown, a high-dimensional vector data visualization method based on double-layer anchor map projection optimization, the specific process is as follows:
[0066] (1) Perform K-means clustering on the original high-dimensional spatial data set D, use the obtained cluster center as the anchor point set A, and the number of clusters k c In practical applications, we set it to the default value of 1000; each anchor point is assigned a unique number within 0-999. At the same time, for large-scale data (data sets with more than 5 million data points), we do not cluster on the full set, but sample a subset of no more than 1 million points, and the number of cl...
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