Software module clustering is the process of automatically partitioning the structure of the
system using low-level dependencies in the source code, to improve the system's structure …

Software module clustering is the process of partitioning the structure of the software system
using low-level dependencies in the source code in order to understand and improve the …

The initial cluster centers of traditional K-means algorithm are randomly selected from
spatially distributed data samples. This procedure may significantly affect the final clustering …

This thesis addresses the importance of understanding the underlying structure of high-
dimensional datasets through clustering, considering the vast amount of unlabelled …

For the sake of accurate energy resource allocation in smart buildings with hybrid solar
energy and main electrical grid, an uncertainty-aware minority-game based energy …

As developers are increasingly creating more sophisticated applications, software systems
are growing in both their complexity and size. When source code is easy to understand, the …