Cluster analysis plays a crucial component in consumer behavior segment. The density
peak clustering algorithm (DPC) is a novel density-based clustering method. However, it …

The outbreak of the global economic crisis in the middle of 2008 had a significant impact on
the world automotive industry and various types of manufacturing and logistics, financial and …

With the continuous development and application of information technology in the logistics
industry, mobile applications, bar code, wireless communication, system integration and …

Cluster ensemble is a very important tool that aggregates several base clusterings to
generate a single output clustering with improved robustness and stability. However, the …

Traditionally, the data clustering algorithm is lack of comprehensive performance, leading to
low clustering purity and long clustering time. In addition, the consistency between the …

Density peaks clustering (DPC) algorithm is a novel algorithm that efficiently deals with the
complex structure of the data sets by finding the density peaks. It needs neither iterative …

Clustering algorithms have been widely studied in many scientific areas, such as data
mining, knowledge discovery, bioinformatics and machine learning. A density-based …

DBSCAN is a popular density-based clustering algorithm in data mining. However, its
principle of first come, first served to deal with the cross-border points of multiple clusters will …

In dynamic information environments such as the web, the amount of information is rapidly
increasing. Thus, the need to organize such information in an efficient manner is more …

From the analysis of the product of configuration values that are comprehensive
consideration, the customer demand and customize its relevance and principles according …