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

Text clustering is one of the efficient unsupervised learning techniques used to partition a
huge number of text documents into a subset of clusters. In which, each cluster contains …

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 …

Artificial Intelligence (AI) is transforming sustainable business strategies globally, yet its
specific applications within American enterprises remain underexplored. This study …

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 …

One of the significant data mining techniques is clustering. Due to expansion and
digitalization of each field, large datasets are being generated rapidly. Such large dataset …

In the technological era, exponential increase of unorganized text documents offers
increased difficulties retrieving the most relevant data. The document clustering is a most …

Probably the most important technological invention of the previous century was the
transistor. And another very important invention was the digital computer, which got a …

This work shows the use of WEKA, a tool that implements the most common machine
learning algorithms, to perform a Text Mining analysis on a set of documents. Applying these …