Empirical and theoretical comparisons of selected criterion functions for document clustering.
This paper evaluates the performance of different functions in the context of partitional clustering algorithms for document datasets. Our study involves a total of seven different criterion functions, three of which are introduced in this paper and four that have been proposed in the past. We prese...
| Julkaisussa: | Machine learning. 55, 3 (2004). |
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| Päätekijä: | |
| Aineistotyyppi: | Artikkeli |
| Kieli: | englanti |
| Aiheet: |