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arXiv 2011.05794physics.data-ancs.LGstat.ME
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Mode hunting through active information

University of Miami(迈阿密大学);Case Western Reserve University(凯斯西储大学)

Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao, Jean-Eudes Dazard

英文摘要:

We propose a new method to find modes based on active information. We develop an algorithm that, when applied to the whole space, will say whether there are any modes present \textit{and} where they are; this algorithm will reduce the dimensionality without resorting to Principal Components; and more importantly, population-wise, will not detect modes when they are not present.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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