E Figueiredo, M Macedo, HV Siqueira… - … Applications of Artificial …, 2019 - Elsevier
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 …
E Osaba, F Diaz, E Onieva - Applied intelligence, 2014 - Springer
In this paper, a new multiple population based meta-heuristic to solve combinatorial optimization problems is introduced. This meta-heuristic is called Golden Ball (GB), and it is …
Z Aliniya, SA Mirroshandel - Expert Systems with Applications, 2019 - Elsevier
Cluster analysis has a wide application in many areas, including pattern recognition, information retrieval, and image processing. In most real-world clustering problems, the …
The application of several swarm intelligence and evolutionary metaheuristic algorithms in data clustering problems has in the past few decades gained wide popularity and …
AES Ezugwu, MB Agbaje, N Aljojo, R Els… - IEEE …, 2020 - ieeexplore.ieee.org
In cluster analysis, the goal has always been to extemporize the best possible means of automatically determining the number of clusters. However, because of lack of prior domain …
Automatic clustering based hybrid metaheuristic algorithms has attracted the center of interest of scientists and engineers which become a hot topic for different data analysis …
Fuzzy time series approaches are used when observations of time series contain uncertainty. Moreover, these approaches do not require the assumptions needed for …
In real life problems, prior information about the number of clusters is not known. In this paper, an attempt has been made to determine the number of clusters using automatic …
Many real-world optimization problems are dynamic, in which the environment, ie the objective function and restrictions, can change over time. In this case, the optimal solution (s) …