Advances in meta-heuristic optimization algorithms in big data text clustering
This paper presents a comprehensive survey of the meta-heuristic optimization algorithms
on the text clustering applications and highlights its main procedures. These Artificial …
on the text clustering applications and highlights its main procedures. These Artificial …
A comprehensive survey of the harmony search algorithm in clustering applications
The Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which
has been successfully applied to a broad range of clustering applications, including data …
has been successfully applied to a broad range of clustering applications, including data …
A new feature selection method to improve the document clustering using particle swarm optimization algorithm
The large amount of text information on the Internet and in modern applications makes
dealing with this volume of information complicated. The text clustering technique is an …
dealing with this volume of information complicated. The text clustering technique is an …
Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering
LM Abualigah, AT Khader - The Journal of Supercomputing, 2017 - Springer
The text clustering technique is an appropriate method used to partition a huge amount of
text documents into groups. The documents size affects the text clustering by decreasing its …
text documents into groups. The documents size affects the text clustering by decreasing its …
Hybrid clustering analysis using improved krill herd algorithm
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 …
function, called MMKHA, is proposed as an efficient clustering way to obtain promising and …
A combination of objective functions and hybrid krill herd algorithm for text document clustering analysis
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 …
herding behavior during the searching for foods. It has been successfully used in solving …
A novel hybridization strategy for krill herd algorithm applied to clustering techniques
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 …
successfully used to solve numerous complex optimization problems. This paper proposed a …
Nature-inspired optimization algorithms for text document clustering—a comprehensive analysis
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 …
huge number of text documents into a subset of clusters. In which, each cluster contains …
A novel hybrid grey wolf optimizer with min-conflict algorithm for power scheduling problem in a smart home
In this paper, the min-conflict local search algorithm (MCA) is hybridized with the grey wolf
optimizer (GWO) for the power scheduling problem in smart home (PSPSH), and the …
optimizer (GWO) for the power scheduling problem in smart home (PSPSH), and the …
Efficient text document clustering approach using multi-search Arithmetic Optimization Algorithm
L Abualigah, KH Almotairi, MAA Al-qaness… - Knowledge-Based …, 2022 - Elsevier
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 …
attention due to the vast amount of daily data from the Web. In the last decade, Meta …