188 results about "Clustering coefficient" patented technology

The invention discloses a brain age prediction method based on a brain connection network. The method comprises the following steps: firstly, a function connection network is extracted from a brain image; secondly, a clustering coefficient of a network node is calculated as a node feature; then, LASSO is used for carrying out feature selection on weights of edges, and edges without determination are eliminated; then, the node feature and the feature of the edge with determination are fused as a fused feature; and finally, a supper vector regression (SVR) is used for predicting a brain edge. The brain age prediction method based on the brain connection network provided by the invention has the advantages that features can be effectively extracted, and the regression effects are good.

A marine observation big data visualization analysis method based on a complex network comprises the steps of performing grid division on original marine observation big data, constructing daily average data in a grid into a single Gaussian model and a mixed Gaussian model, and obtaining nodes represented by probability feature vectors; Determining the similarity between any two nodes in the single Gaussian network and the multi-Gaussian network to obtain a similarity matrix; And setting a threshold value to obtain an adjacent matrix, calculating the degree, the clustering coefficient and thenode betweenness of each node according to the adjacent matrix, and visualizing or drawing the degree, the clustering coefficient and the node betweenness on double logarithm coordinates or on a map.According to the invention, the Gaussian mixture model is combined with the complex network theory for the first time; The invention provides a marine observation big data analysis and visualization method, the fluctuation of ocean motion reflected on the data is restored to the maximum extent, and model parameters are used for expressing high-dimensional ocean data, so that the defect that a network model constructed on the basis of Pearson similarity can only measure time sequence data is overcome, and the calculation speed is also improved.