An algorithm to efficiently generate an approximation of a theory set
A theory set essentially consists of patterns that summarizes the observed inherent behavior of each cluster of observation in a data set. Furthermore, it is used in evaluating the cluster membership of new sets of data. Due to the large amount of computational resources needed to generate a theory...
| Julkaisussa: | Philippine computing journal 4, 2 (2009(D)). |
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| Päätekijä: | |
| Muut tekijät: | , |
| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
| Aiheet: |