Abstract
Based on characteristics of data distribution in the low dimension nature, this paper studies the effect of manifold embedding technology used in typical industrial data set analysis, and manifold learning theory was introduced into the visualization data mining to help get quick effective information in a large number of data. Cognitive process with the help of that information reduces the difficulty of analysis and improves the data utilization efficiency, having a high value in engineering application.
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