Abstract: A late fusion multi-view clustering method and system based on local maximum alignment are provided. The late fusion multi-view clustering method based on local maximum alignment includes the following steps: S1: acquiring a clustering task and a target data sample; S2: initializing a permutation matrix of each view and a combination coefficient of each view, and performing average partition of kernel k-means clustering on an average kernel to obtain a neighbor matrix of each view; S3: calculating basic partition of each view, and establishing a late fusion multi-view clustering objective function based on maximum alignment; S4: acquiring basic partition having local information, and establishing a late fusion multi-view clustering objective function based on local maximum alignment; S5: solving the established late fusion multi-view clustering objective function based on local maximum alignment in a cyclic manner to obtain optimal partition; and S6: performing k-means clustering on the optimal partition.

Abstract: The present invention discloses a hypericin albumin nanoparticle-Escherichia coli serum antibody complex, which is obtained through adding mixed hypericin albumin nanoparticles and rabbit anti-Escherichia colis into ethanediol, irradiating them with carbon ion, setting them at a low temperature for 2 hours after irradiation, centrifuging them at a low temperature, and freezing and drying the precipitates. Its preparation method and application are also provided.

Abstract: The present invention discloses a hypericin albumin nanoparticle-Escherichia coli serum antibody complex, which is obtained through adding mixed hypericin albumin nanoparticles and rabbit anti-Escherichia colis into ethanediol, irradiating them with carbon ion, setting them at a low temperature for 2 hours after irradiation, centrifuging them at a low temperature, and freezing and drying the precipitates. Its preparation method and application are also provided.