A review of unsupervised k-value selection techniques in clustering algorithms
Purpose: Automatic grouping of data according to certain characteristics is made possible by clustering algorithms, which makes them an essential tool when working with large datasets. However, although they are unsupervised tools, they generally require the specification of the number of clusters t...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
OmniaScience
2024-08-01
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| Series: | Journal of Industrial Engineering and Management |
| Subjects: | |
| Online Access: | https://www.jiem.org/index.php/jiem/article/view/6791 |
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