RamanCluster: A deep clustering-based framework for unsupervised Raman spectral identification of pathogenic bacteria

This publication has 27 references indexed in Scilit:

• Effective sample pairs based contrastive learning for clustering
  Information Fusion, 2023
• Strongly augmented contrastive clustering
  Pattern Recognition, 2023
• Multi-point scanning confocal Raman spectroscopy for accurate identification of microorganisms at the single-cell level
  Talanta, 2022
• Rapid identification of salmonella serovars by using Raman spectroscopy and machine learning algorithm
  Talanta, 2022
• Discrimination of waterborne pathogens, Cryptosporidium parvum oocysts and bacteria using surface-enhanced Raman spectroscopy coupled with principal component analysis and hierarchical clustering
  Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022
• Rapid and sensitive discrimination among carbapenem resistant and susceptible E. coli strains using Surface Enhanced Raman Spectroscopy combined with chemometric tools
  Photodiagnosis and Photodynamic Therapy, 2021
• Recent advances in dual recognition based surface enhanced Raman scattering for pathogenic bacteria detection: A review
  Analytica Chimica Acta, 2021
• Deep k-Means: Jointly clustering with k-Means and learning representations
  Pattern Recognition Letters, 2020
• Isolation and identification of bacteria by means of Raman spectroscopy
  Advanced Drug Delivery Reviews, 2015
• Improving the Hungarian assignment algorithm
  Operations Research Letters, 1986