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RELATIVE PRINCIPLE COMPONENT AND RELATIVE PRINCIPLE COMPONENT ANALYSIS ALGORITHM

机译:相对主成分和相对主成分分析算法

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摘要

In this letter, the new concept of Relative Principle Component (RPC) and method of RPC Analysis (RPCA) are put forward. Meanwhile, the concepts such as Relative Transform (RT), Rotundity Scatter (RS) and so on are introduced. This new method can overcome some disadvantages of the classical Principle Component Analysis (PCA) when data are rotundity scatter. The RPC selected by RPCA are more representative, and their significance of geometry is more notable, so that the application of the new algorithm will be very extensive. The performance and effectiveness are simply demonstrated by the geometrical interpretation proposed.
机译:在这封信中,提出了相对原理组分(RPC)的新概念和RPC分析(RPCA)的方法。同时,介绍了相对变换(RT),旋转散射(RS)等概念。当数据是旋转散射时,这种新方法可以克服经典原理分析(PCA)的一些缺点。 RPCA选择的RPC更具代表性,它们对几何形状的重要性更为显着,因此新算法的应用将非常广泛。通过提出的几何解释简单地证明了性能和有效性。

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