Research on Modeling and Application of Multiple Manifold Structure Data
Studies the clustering method of multiple manifold structure complex data, and proposes the seeds growth model on the basis of the manifold learning. One-dimensional and two-dimensional multiple manifold structure data modeling and their analysis, shows that the model can effectively solve the similar mixed subspace clustering problem. Takes the living example in Industrial measurement as the object of the study for modeling, the result achieves the purpose of industrial measurement, and verifies the feasibility of the model in practical application.
NETL
NSTL
万方数据
维普
