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

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Podrobná bibliografie
Vydáno v:	Journal of Information and Communication Technology Ročník 20
Hlavní autoři:	Azlin Alisa Ahmad, Rubiyah Yusof, Nor Saradatul Akmar Zulkifli, Mohd Najib Ismail
Médium:	Journal Article
Jazyk:	japonština
Vydáno:	UUM Press, Universiti Utara Malaysia 01.01.2021
Témata:	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
On-line přístup:	Získat plný text
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Popis
ISSN:	1675-414X
DOI:	10.60692/nb1va-dfg48