Stellar Spectral Subclass Classification Based on Locally Linear Embedding

Yude Bu; Jingchang Pan; Bin Jiang; Peng Wei

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Stellar Spectral Subclass Classification Based on Locally Linear Embedding

机译：基于局部线性嵌入的恒星光谱子类分类

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Locallylinearembedding(LLE)isarecentlydevelopeddimensionreductiontechnique.Inthispaper,wedescribehowweappliedLLEtothestellarsubclassclassification.WefoundthatLLEclassifiestheobjectswithdifferentphysicalcharacteristicscorrectly.WethencomparedtheperformanceofLLEwiththatofprincipalcomponentanalysis(PCA)inspectralclassification,andfoundthatLLEdoesbetterthanPCA.WetestedtherobustnessofLLEagainstthechangingofsignal-to-noiseratios(SNRs),andfoundthattheperformanceofLLEisaffectedbytwofactors:changingofSNRsandtherangeofSNRsofthespectradataset.WealsostudiedthevariationofLLEparameters,andfoundthattheexperimentresultsareaffectedbytheparametervariation,butnotsensitive.Finally,usingLLE,welocatedthoseobjectsmisclassifiedbytheSloanDigitalSkySurveypipeline,andestimateditsaccuracyinclassifyingstellarsubclasses.

机译：Locallylinearembedding（LLE）isarecentlydevelopeddimensionreductiontechnique.Inthispaper，wedescribehowweappliedLLEtothestellarsubclassclassification.WefoundthatLLEclassifiestheobjectswithdifferentphysicalcharacteristicscorrectly.WethencomparedtheperformanceofLLEwiththatofprincipalcomponentanalysis（PCA）inspectralclassification，andfoundthatLLEdoesbetterthanPCA.WetestedtherobustnessofLLEagainstthechangingofsignal到noiseratios（信噪比），andfoundthattheperformanceofLLEisaffectedbytwofactors：changingofSNRsandtherangeofSNRsofthespectradataset.WealsostudiedthevariationofLLEparameters，andfoundthattheexperimentresultsareaffectedbytheparametervariation，butnotsensitive.Finally，usingLLE，welocatedthoseobjectsmisclassifiedbytheSloanDigitalSkySurveypipeline，andestimateditsaccuracyinclassifyingstellarsubclasses。

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《PASJ: Publications of the Astronomical Society of Japan》 |2013年第4期|共页
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Yude Bu; Jingchang Pan; Bin Jiang; Peng Wei;
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Stellar Spectral Subclass Classification Based on Locally Linear Embedding

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