An Improved Pheromone-Based Kohonen Self- Organising Map in Clustering and Visualising Balanced and Imbalanced Datasets

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Veröffentlicht in:Journal of Information and Communication Technology Jg. 20
Hauptverfasser: Azlin Alisa Ahmad, Rubiyah Yusof, Nor Saradatul Akmar Zulkifli, Mohd Najib Ismail
Format: Journal Article
Sprache:Japanisch
Veröffentlicht: UUM Press, Universiti Utara Malaysia 01.01.2021
Schlagworte:
Artificial intelligence
Canopy clustering algorithm
Cluster analysis
clustering
Clustering Algorithms
Computer science
Computer Vision and Pattern Recognition
Correlation clustering
Data Clustering Techniques and Algorithms
Data mining
Face Recognition and Dimensionality Reduction Techniques
imbalanced data
Information technology
kohonen self-organising map
Machine learning
Neural Network Fundamentals and Applications
Operating system
optimisation
Pattern recognition (psychology)
pheromone
Physical Sciences
Process (computing)
QA75 Electronic computers. Computer science
QA76 Computer software
Self-organizing map
Self-Organizing Maps
Semi-supervised Clustering
Stream Data Clustering
T58.5-58.64
ISSN:1675-414X
Online-Zugang:Volltext
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ISSN:1675-414X
DOI:10.60692/nb1va-dfg48