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Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature
Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …
proposed and implemented, most of which are able to find good quality clustering results …
[หนังสือ][B] Swarm intelligence: principles, advances, and applications
AE Hassanien, E Emary - 2018 - taylorfrancis.com
Swarm Intelligence: Principles, Advances, and Applications delivers in-depth coverage of
bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf …
bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf …
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 …
[HTML][HTML] Improving K-means clustering with enhanced Firefly Algorithms
H ** attraction for constrained optimization problem
Z Cheng, H Song, J Wang, H Zhang, T Chang… - Knowledge-Based …, 2021 - Elsevier
Firefly algorithm (FA) is a new random swarm search optimization algorithm, which
simulates the mutual attraction and movement process of flashing fireflies. The different …
simulates the mutual attraction and movement process of flashing fireflies. The different …
Incorporating the genetic and firefly optimization algorithms into K-means clustering method for detection of porphyry and skarn Cu-related geochemical footprints in …
For the purpose of multi-element geochemical modeling of stream sediment data, we
investigate the use of unsupervised clustering analysis (CA). For the various reasons …
investigate the use of unsupervised clustering analysis (CA). For the various reasons …
[HTML][HTML] Optimal cluster analysis using hybrid K-Means and Ant Lion Optimizer
SK Majhi, S Biswal - Karbala International Journal of Modern Science, 2018 - Elsevier
K-Means is a popular cluster analysis method which aims to partition a number of data
points into K clusters. It has been successfully applied to a number of problems. However …
points into K clusters. It has been successfully applied to a number of problems. However …
Recent advances and prospects in hypersonic inlet design and intelligent optimization
Y Ma, M Guo, Y Tian, J Le - Aerospace Science and Technology, 2024 - Elsevier
As the “respiratory tract” of the air breathing engine, the hypersonic inlet plays the role of
compressing, decelerating, and pressurizing flow. However, research on the traditional inlet …
compressing, decelerating, and pressurizing flow. However, research on the traditional inlet …