The combined images (NAIP bands + NDVI band) were classified using an unsupervised classification method (Xie et al. 2008; Perotto-Baldivieso et al. 2009).
The 30-band data set was classified using the abovementioned augmented training set.
OTUs were classified using the Greengenes 16S rRNA reference database.
Five fungal species were selected, i.e. Penicillium chrysogenum, F. verticillioides, Aspergillus parasiticus, Trichoderma viride and Aspergillus flavus, and all could be classified using three narrow bands (bandwidth = 2.43 nm) centred at 743, 458 and 541 nm.
It is shown that the anisotropic fluctuation modes in a periodic phase can be classified using a wave vector within the irreducible Brillouin zone and a band index.
Further, the patent is classified using national and international classifications.
As a result, four protein bands were classified into glycosyl hydrolase family 26 (GH26) mannanases.
All patients with diagnosis of HF in their clinical histories were included, classified using the Adjusted Clinical Group system and then grouped into six resource utilization bands (RUBs).
Results indicate that all melanoma lesions are correctly classified, using a low number of bands, reaching 100% sensitivity and 72% specificity when considering nine (out of a total of 55) spectral bands.
The banding patterns were interpreted visually and strains showing the same PFGE pattern were classified into pulsotypes using an alphabet (e.g. A, B, C etc).
