… analysis. It can be used to discover the spatial association rules and spatial outliers in spatial
datasets. Currently most spatial clustering algorithms cannot obtain satisfied clustering … use …

… important quality standard for spatial clustering algorithm. In this paper, we present a spatial
clustering algorithm based on the nearest distance distribution, the algorithm is based on a …

… Clustering Algorithm Based on NJW Algorithm. The main idea is that each object, making
weighted arithmetic, repeats clustering … from the stability of NJW Algorithm. According to the …

… clustering algorithm in which the concept of average distance was used, and then with the
application of some … voltage control; voltage partition; spectral coefficient; clustering algorithm …

… rule how to use these two methods properly. The cloud detection results gained by this algorithm
are well … We also investigated the potential application of the cloud detection algorithm. …

… The statistical methods use some statistical distribution to fit the dataset, … clustering methods
have the ability to discover spatial outliers as the entities which do not belong to any cluster…

… neural network (CNN)-based image clustering algorithm is proposed for fast recognition of
traffic signs. First, The image clustering algorithm was used to optimize the original dataset; …

[Objectives] This paper proposes a real-time obstacle avoidance method based on artificial
potential field, in order to cope with the many potential obstacles in complex underwater …