Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

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 …

This paper presents a comprehensive survey of the meta-heuristic optimization algorithms
on the text clustering applications and highlights its main procedures. These Artificial …

The fuzzy c-means (FCM) algorithm is a popular method for data clustering and image
segmentation. However, the main problem of this algorithm is that it is very sensitive to the …

In the field of data mining, clustering has shown to be an important technique. Numerous
clustering methods have been devised and put into practice, and most of them locate high …

In this paper, a new approach has been introduced for optimal parameter estimation of a
proton exchange membrane fuel cell (PEMFC) model. The main purpose is to minimize the …

The main objective of this study is to present a multi-objective and optimal hybrid PV/diesel
generator/battery Renewable Energy System (HRES) to provide this reliability in the Hotan …

Although the growing number of synthetic aperture radar (SAR) satellites has increased their
application in flood-extent mapping, predictive models for the analysis of flood dynamics that …

This article presents a new image segmentation approach based on the principle of
clustering optimized by the meta-heuristic algorithm namely: SCA (Algorithm Sinus Cosine) …

During major disturbances in electric power system (PS) penetrated with renewable energy
sources, primary and supplementary automatic generation control (AGC) strategies usually …