Automatic grouping (clustering) involves dividing a set of objects into subsets (groups) so
that the objects from one subset are more similar to each other than to the objects from other …

With the development of information technology and the arrival of the era of big data, China's
logistics industry has been developing rapidly, especially in modern logistics management …

Clustering large volumes of high-dimensional data is a challenging task. Many clustering
algorithms have been developed to address either handling datasets with a very large …

With the fast development of the market economy in China, the material management of the
Power Enterprise Group has changed and met many challenges. On the other hand, with the …

The supply chain information management of logistics has become an important method to
enhance its competitiveness. The inventory information management and application of the …

The vehicle scheduling in the logistics system of the steel park is a critical factor determining
the scheduling efficiency and logistics throughput. The limited space resources at the …

The traditional clustering algorithms are only suitable for the static datasets. As for the
dynamic and incremental datasets, the clustering results will become unreliable after data …

Identifying clusters of arbitrary shapes and constantly processing the newly arrived data
points are two critical challenges in the study of clustering. This paper proposes a dynamic …