K

k-means is a popular clustering algorithm because of its simplicity and scalability to handle large datasets. However, one of its setbacks is the challenge of identifying the correct k-hyperparameter value. Tuning this value correctly is critical for building effective k-means models. The use of the...

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Bibliographic Details
Published in:Journal on artificial intelligence 2023-01, Vol.5, p.75
Main Authors: Gikera, Rufus, Mwaura, Jonathan, Muuro, Elizaphan, Mambo, Shadrack
Format: Article
Language:English
Subjects:
Algorithms
Cluster analysis
Clustering
Datasets
Design of experiments
Machine learning
Tuning
Variance analysis
Online Access:Get full text
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