To find unknown celestial bodies is one of main goals in mankind's universe exploration, and outlier mining is a kind of effective way of finding unknown celestial bodies from mass spectrum data. In the present work, using VC++ and Oracle9i as development tools, an outlier mining system for star spectra is designed and realized, and its software architecture and function modules are outlined. At the same time, the system's key components such as star spectrum data preprocessing based on median filters, clustering of star spectrum data based on distance, outlier mining of star spectrum data based on distance support and three-dimensional visualization of star spectrum outlier based on PCA, are elaborated. The preliminary experimental results based on SDSS star spectrum data show that the system is workable for outlier mining of celestial body spectrum data, and a new kind of effective way of finding unknown and peculiar celestial body spectrum data.
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Scientific Research Institute for Systems Biology and Medicine, Federal Service on Consumer Rights Protection and Human Well-Being Surveillance, Moscow, Russia.
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Sci Rep
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Department of Neurology, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.
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View Article and Find Full Text PDFUsefulness in rehabilitation of the paper Multiple Errands Test to assess executive functions in patients with schizophrenia, bipolar or autism disorders. Results from the REHABase cohort study.
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