1 I n t r o d u c t i o n This paper investigates the problem of realizing a given graph G as a "nearest neighbour graph" of a set P of points in the plane. Roughly speaking, a "nearest neighbour graph" is a geometric graph formed from a set of points in the plane by joining two points if one is the nearest neighbour of the other. Fig. 1. A mutual nearest neighbour graph One specific kind of ne...

Abstract With the advantages of few parameters and ability to deal with clusters arbitrary shape, density peak clustering algorithm has attracted wide attention since it came out. However, problems such as high time complexity, poor effect on complex data sets, need manually select cluster centers. Aiming at above shortcomings, an improved is proposed. Combined sparse search algorithm, calculat...

This paper proposes a hybrid learning method to speed up the classification procedure of Support Vector Machines (SVM). Comparing most algorithms trying to decrease the support vectors in an SVM classifier, we focus on reducing the data points that need SVM for classification, and reduce the number of support vectors for each SVM classification. The system uses a Nearest Neighbor Classifier (NN...

Virtual screening (VS) has become a preferred tool to augment high-throughput screening(1) and determine new leads in the drug discovery process. The core of a VS informatics pipeline includes several data mining algorithms that work on huge databases of chemical compounds containing millions of molecular structures and their associated data. Thus, scaling traditional applications such as class...