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 …

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 …

Krill herd (KH) is a stochastic nature-inspired optimization algorithm that has been
successfully used to solve numerous complex optimization problems. This paper proposed a …

Text document clustering is to divide textual contents into clusters or groups. It received wide
attention due to the vast amount of daily data from the Web. In the last decade, Meta …

This chapter provides an in-depth overview of the metaheuristic optimization algorithms
used in the domain of document/text clustering as well as a description of their main …

Abstract The Arctic Region experienced a series of significant changes due to shifting
climate conditions, resulting in multiple opportunities and challenges for international actors …

The clustering of big data is a challenging task. The traditional clustering algorithms are
inefficient for clustering big data. The recent researches in this field suggest that the …

Purpose The purpose of this paper is to explore and describe how research on quality
management (QM) has evolved historically. The study includes the complete digital archive …

Recently, due to the huge growth of web pages, social media and modern applications, text
clustering technique has emerged as a significant task to deal with a huge amount of text …

Parallel processing has turned into one of the emerging fields of machine learning due to
providing consistent work by performing several tasks simultaneously, enhancing reliability …