After the experimental analysis for the performance of the algorithms based on Euclidean distance and KNN,the definition of SNN(shared k-nearest neighbor) is presented.

Detecting community structure based on shared nearest neighbor

Then, groups objects into a large number of relatively small sub-clusters using the shared nearest neighbor algorithm and the improved cluster cohesion algorithm.

Study of minimum shared information set of anti-air warfare based on cooperative engagement capability of surface ship formation;

The concept of minimum shared information set and the intelligent system model of fighter are presented,from which the information of cooperative air combat is analyzed,and the event method for determining the minimum shared information set of cooperative air combat is given.

Grid-based shared nearest neighbor clustering algorithm;

Development and improvement of K-Nearest Neighbor clustering technique

To further understand the quantitative structure-activity relationship(QSAR)of fluorine-containing pesticide and improve the prediction precision of QSAR models,a novel nonlinear combinatorial forecast me-thod named Multi-KNN-SVR,multi-K-nearest neighbor based on support vector regression,was proposed.

In order to improve the predication precision of quantitative structure-activity relationship(QSAR) model,a novel combinatorial k-nearest neighbor method based on support vector machine regression(SVR-CKNN) was proposed,which could screen descriptors automatically and then builds several k-nearest neighbor models for combinatorial forecast.