Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …

The increase in available data has attracted the interest in clustering approaches as a way
of coherently aggregating them and identify patterns in big data. Hence, Swarm Intelligence …

Big data has increasingly become predominant in many research fields affecting human
knowledge, including medicine and engineering. Cluster analysis, or clustering, is widely …

Nowadays, sustainability is recognized as one of the most important development
paradigms and included in the international and national strategies of almost all …

In recent years, cloud computing paradigm has emerged as an internet-based technology to
realize the utility model of computing for serving compute-intensive applications. In the cloud …

In recent years, internet technologies and its rapid growth have created a paradigm of digital
services. In this new digital world, users suffer due to the information overload problem and …

This article describes a new clustering method for segmentation of Magnetic resonance
imaging (MRI) brain images. Currently, when fuzzy clustering is applied to brain image …

Fuzzy c-means (FCM) is a well-known unsupervised clustering algorithm based on fuzzy
logic and used in many applications. However, it has some disadvantages. One …

Particle swarm optimization (PSO) algorithm is widely used in cluster analysis. However, it is
a stochastic technique that is vulnerable to premature convergence to sub-optimal clustering …

The development of internet technologies has brought digital services to the hands of
common man. In the selection process of relevant digital services to the active target user …