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    <identifier>10.57760/sciencedb.03134</identifier>
    <datestamp>2022-10-08T16:55:10Z</datestamp>
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  <dc:date>2022-10-08</dc:date>
  <dc:title>Study on Multi-Wavelength Transmission Spectral Feature Extraction Combined With Support Vector Machine for Bacteria Indentification</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.03134</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The data set includes the data of (1) multi-wavelength transmission spectra and normalized images of S. aureus at different concentrations, (2) normalized trend graphs of multi-wavelength transmission spectra of five low bacteria concentration samples, (3) variance analysis diagram of multi-wavelength transmission spectrum of bacteria, (4) cosine similarity between different microbial spectra of bacteria, (5) the difference of normalized graph of multi-wavelength transmission spectra of five kinds of bacteria, (6) the recognition rates of five kinds of bacteria by libsvm.</dc:description>
  <dc:subject>Multiwavelength transmission spectrum; Bacterias; Feature extraction; Support vector machine;  Classification and indentification</dc:subject>
  <dc:creator>Chun Feng</dc:creator>
  <dc:creator>Nanjing Zhao</dc:creator>
  <dc:creator>Gaofang Yin</dc:creator>
  <dc:creator>gan ting ting</dc:creator>
  <dc:creator>Xiaowei Chen</dc:creator>
  <dc:creator>Min Chen</dc:creator>
  <dc:creator>Hui Hua</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.3964/j. issn. 1000-0593(2021)09-2940-05</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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