The standard classification model with several normal populations is extended to the cluster analysis situation where little or no previous information about the population parameters is available.

Many intuitively appealing methods have been suggested for clustering data, however, interpretation of their results has been hindered by the lack of objective criteria. This article proposes several ...

This paper demonstrates how AI and data-driven methods can help make telecom networks smarter, more efficient, and ready for ...

Avoiding the formation of unwanted clusters of similar elements when dividing data into groups is of great importance for the analysis of medical data. Psychologists and computer scientists from ...