Research on Embedding Unsupervised Learning and Application on Tobacco Leaf Data

Data-driven is the core of distance measurement, which is used to measure and classify the similarity of tobacco leaf producing areas and improve the accuracy of clustering. The article proposes a spectral clustering algorithm based on auto encoding called AESC, which consists of two parts: auto encoder and spectral clustering layer. The auto encoder is used for feature learning to improve the acc...