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 …

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 …

The rapid progress of information technology and web makes it easier to store huge amount
of collected textual information, eg, blogs, news articles, e-mail messages, reviews and …

Text clustering is an efficient analysis technique used in the domain of the text mining to
arrange a huge of unorganized text documents into a subset of coherent clusters. Where, the …

Clustering time series data is of great significance since it could extract meaningful statistics
and other characteristics. Especially in biomedical engineering, outstanding clustering …

The clustering is an important data analysis technique. However, clustering high-
dimensional data like documents needs more effort in order to extract the richness relevant …

One of the most difficult problems, in cluster analysis is the determination of the number of
clusters in a data set. Solving this problem consists in detecting and finding the best number …

The volume of data on the web is growing rapidly, due to the proliferation of news sources,
contents, blogs and journals etc. Like other languages, the Urdu language has also …

Speed of decision making, increased operations tempo and enhanced situational
awareness are some of the essential characteristics required by United Nations …