The spatial and dynamical structure of star-forming regions can help provide insights on stellar formation patterns. amount data from current upcoming surveys calls for robust objective procedures to detect structure, so the results be statistically analysed different compared. We community with a tool able small scale significant above random expectation, in regions, which could imprint proces...

To solve the problem of orchard environmental perception, a 2D LiDAR sensor was used to scan fruit trees on both sides test platform obtain their position. Firstly, two-dimensional iterative closest point (2D-ICP) algorithm complete cloud data sides. Then, combining lightning connection (LAPO) and density-based clustering (DBSCAN), tree detection method based (LAPO-DBSCAN) proposed. After obtai...

Density-based clustering algorithms are widely used for discovering clusters in pattern recognition and machine learning. They can deal with non-hyperspherical robust to outliers. However, the runtime of density-based is heavily dominated by neighborhood finding density estimation which time-consuming. Meanwhile, traditional acceleration methods using indexing techniques such as KD-tree may not...

The success of the Case Based Reasoning (CBR) system depends on the quality of the case data. This quality is dedicated to the study of the case base competence which is measured by the range of problems that can be satisfactorily solved. In fact, modeling case-base competence is a clamorous issue in the discipline of CBR. However, the existence of erroneous cases as noises and the non uniform ...