A harmony search algorithm for clustering with feature selection
This paper presents a new clustering algorithm, called IHSK, with feature selection in a linear order of complexity. The algorithm is based on the combination of the harmony search and K-means algorithms. Feature selection uses both the concept of variability and a heuristic method that penalizes t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Antioquia
2013-03-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/14724 |