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

Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …

In recent decades, the improvement of computer technology has increased the growth of
high-dimensional microarray data. Thus, data mining methods for DNA microarray data …

In this paper, a novel text clustering method, improved krill herd algorithm with a hybrid
function, called MMKHA, is proposed as an efficient clustering way to obtain promising and …

Accurate classification of high-dimensional biomedical data highly depends on the efficient
recognition of the data's main features which can be used to assist diagnose related …

Krill herd (KH) algorithm is a novel swarm-based optimization algorithm that imitates krill
herding behavior during the searching for foods. It has been successfully used in solving …

Feature selection (FS) is recognized as one of the majority public and challenging problems
in the Machine Learning domain. FS can be examined as an optimization problem that …

DNA microarray technology is the fabrication of a single chip to contain a thousand genetic
codes. Each microarray experiment can analyze many thousands of genes in parallel. The …

Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …

Microarray technology has become an emerging trend in the domain of genetic research in
which many researchers employ to study and investigate the levels of genes' expression in a …