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 …

Clustering with multiview data is becoming a hot topic in data mining, pattern recognition,
and machine learning. In order to realize an effective multiview clustering, two issues must …

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 …

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 …

We propose a nature-inspired approach to estimate the probability density function (pdf)
used for data clustering based on the optimum-path forest algorithm (OPFC). OPFC …

Data clustering is related to the split of a set of objects into smaller groups with common
features. Several optimization techniques have been proposed to increase the performance …

Increasing student retention has been a common goal of many academic institutions,
especially in the university level. The negative effects of student attrition are evident to …

Clustering methods play an important role in data mining and various other applications.
This work investigates them based on swarm intelligence. It proposes a new clustering …

A note published by Črepinšek et al.[3](A note on teaching–learning-based optimization
algorithm, Information Sciences 212 (2012) 79–93) reported three “important mistakes” …