1 results about "Kernel clustering" patented technology

The application discloses a multi-scale structure preserving optimal transmission depth kernel clustering method, and belongs to the technical field of unsupervised machine learning, pattern recognition and data mining, and comprises the following steps: S1, multi-layer coding is performed on input unlabeled single-view data to obtain hierarchical hidden representation; S2, each layer of normalized kernel matrix is obtained based on the step S1; S3, a fusion kernel matrix is obtained based on the step S2; S4, the fusion kernel matrix obtained based on the step S2; S5, a multi-scale structure preserving regularization term of the step S3 is taken as a core constraint; and S6, after the final fusion kernel matrix is obtained after model training convergence, a multi-scale structure preserving regularization is constructed from the local neighborhood distribution consistency and the global geometric correlation, the geometric deviation of the kernel space relative to the input space is explicitly constrained, and the excessive geometric distortion and structure degradation in the kernel learning process are inhibited.