Abstract The arrival of Big Data era has brought large, complex, and growing data generated
from numerous sources. Due to the power in felicitous decision making based on diverse …

In recent years, Software Defined Networking (SDN) has emerged as a pivotal element not
only in data-centers and wide-area networks, but also in next generation networking …

Recently, large-scale pre-training methods like CLIP have made great progress in multi-
modal research such as text-video retrieval. In CLIP, transformers are vital for modeling …

In this paper, we study what are the most important factors that deteriorate the performance
of the k-means algorithm, and how much this deterioration can be overcome either by using …

Intrusion detection has become essential to network security because of the increasing
connectivity between computers. Several intrusion detection systems have been developed …

K-means is undoubtedly the most widely used partitional clustering algorithm. Unfortunately,
due to its gradient descent nature, this algorithm is highly sensitive to the initial placement of …

Consensus reaching processes in group decision making attempt to reach a mutual
agreement among a group of decision makers before making a common decision. Different …

Nowadays due to the social networks and the technological development, large-scale group
decision making (LS-GDM) problems are fairly common and decisions that may affect to lots …

This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …

As the number of models in Coupled Model Intercomparison Project (CMIP) archives
increase from generation to generation, there is a pressing need for guidance on how to …